Updated on 2024/11/01

Information

 

写真a

 
TOMIURA YOICHI
 
Organization
Faculty of Information Science and Electrical Engineering Department of Informatics Professor
Library (Concurrent)
Data-Driven Innovation Initiative (Concurrent)
Education and Research Center for Mathematical and Data Science (Concurrent)
School of Engineering Department of Electrical Engineering and Computer Science(Concurrent)
Graduate School of Integrated Frontier Sciences Department of Library Science(Concurrent)
Joint Graduate School of Mathematics for Innovation (Concurrent)
Title
Professor
Contact information
メールアドレス
Tel
0928023584
Profile
He has been working in the field of Natural Language Processing. Especially, his research interests are : disambiguation of syntactic structure of a sentence, acquisition of the knowledge about words' meaning from a corpus, extraction of information from large set of documents, and comprehensive academic paper search.
External link

Research Areas

  • Humanities & Social Sciences / Library and information science, humanistic and social informatics

  • Informatics / Intelligent informatics

Degree

  • Dr. Eng. (Kyushu University, Japan)

Research History

  • Faculty of Information Science and Electrical Engineering  Professor 

    2011.4 - Present

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Research Interests・Research Keywords

  • Research theme: 自然言語処理

    Keyword: 自然言語処理

    Research period: 2024

  • Research theme: data mining

    Keyword: data mining

    Research period: 2024

  • Research theme: Natural Language Processing

    Keyword: Natural Language Processing

    Research period: 2024

  • Research theme: Box Finder : Searching for Physical Documents in Archival Repositories

    Keyword: Historical documents, Box, Search

    Research period: 2023.4

  • Research theme: Research on semi-automated feedback on English learners' essays

    Keyword: Large Language Model, BERT, Unsupervised Learning

    Research period: 2023.2

  • Research theme: Extract spatial distribution of a target gas from mixed gas using the LSPR gas sensor

    Keyword: Multi-channel gas sensor, Matrix factorization, Component gas, Spatial distribution

    Research period: 2022.4

  • Research theme: Research on research data retrieval

    Keyword: research data

    Research period: 2022.4

  • Research theme: Research on odor quantification

    Keyword: Odor, Odor-code, embedding, SMILES, Olfactory Bulb

    Research period: 2021.3

  • Research theme: A Comprehensive Study for Constructing a Large Scale Information Infrastructure of Paper-based Historical Materials

    Keyword: Historical Materials, OCR, Full-text Search, Information Infrastracture

    Research period: 2018.8 - 2022.3

  • Research theme: olfactory information processing using active pattern of glomeruli in the olfactory bulb

    Keyword: sense of smell, primitives of olfactory information, clustering of glomeruli

    Research period: 2014.10 - 2022.3

  • Research theme: Extracting Latent Research Cluster using Institute Repository

    Keyword: Author Topic Model, Topic Analysis, Collaboration, Research Administrator

    Research period: 2013.4 - 2016.3

  • Research theme: Automatically Generating Questions and Answers about Content of English Document Arbitrarily Selected by Learner Using NLP

    Keyword: generation of questions and answers, extensive reading, learning support, NLP

    Research period: 2012.4 - 2016.3

  • Research theme: Automatic Sentence-Level Annotation of Human Values

    Keyword: human values, opinion sentence, SVM, latent variable, Gibbs Sampling

    Research period: 2012.2 - 2021.3

  • Research theme: Organization of Scientific Papers for Scientific Information Retrieval

    Keyword: clustering, k-means, latent variable, statistic language model, distributional similarity, Gibbs Sampling

    Research period: 2011.4 - 2016.3

  • Research theme: Organization of Documents on WWW

    Keyword: Document Clustering, Estimation of Topic, Estimation of Relation between Clusters, Latent Class, Stochastic Language Model, BIC

    Research period: 2010.10 - 2012.3

  • Research theme: Providing Appropriate Alternative Co-occurrence Candidates; Towards a Japanese Composition Support System for Foreign Students

    Keyword: similarity of occurring environments, natural cooccurrence, Japanese composition support system, natural language processing

    Research period: 2008.6 - 2011.3

  • Research theme: Construction and publication of native/non-native English paper corpus gathered from Web and its application

    Keyword: Web document, discernment of nativeness, learner's corpus, English language education, supporting system for writing in English, NLP

    Research period: 2007.10 - 2012.3

  • Research theme: Analysis of Answering Method with Probability Conversion for Internet Research

    Keyword: Internet Research, anonymity, Probability Conversion

    Research period: 2007.7 - 2009.12

  • Research theme: A Method for Automatically Generating Proper Responses to User's Utterances in Open-ended Conversation by Retrieving Documents on the Web

    Keyword: dialogue, open-domain, cohesion, coherence

    Research period: 2005.9 - 2009.8

  • Research theme: Robust Language Identification for Similar Languages and Short Texts

    Keyword: Language Identification, Similar Language, WWW, Information Retrieval

    Research period: 2004.8 - 2009.9

  • Research theme: Knowledge Acquisition about Meaning from Large Language Corpus

    Keyword: semantic category, case-frame, causal relation, self-organization, statistical language model, NLP

    Research period: 2003.8 - 2010.9

  • Research theme: Assisting with Translating Japanese Collocations Based on the Word Co-occurrence on the Web Texts

    Keyword: translation, Web document, cooccurrency, Word Sense Disambiguation

    Research period: 2003.8 - 2005.9

  • Research theme: Discernment of Nativeness of English Documents Based on Statistical Language Model

    Keyword: Web documents, Discernment of Nativeness, Statistical Language Model, Statistical Hypothesis Testing, NLP

    Research period: 2003.6 - 2009.9

  • Research theme: Placement of Nouns in a Multi-Dimensional Space Based on Words' Cooccurrency

    Keyword: word vector, cooccurrency, example-based method, natural language processing

    Research period: 2002.7 - 2003.10

  • Research theme: Estimating Satisfactoriness of Selectional Restriction from Corpus

    Keyword: word cooccurrence, syntactic disambiguation, multiple regression model, natural language processing

    Research period: 1999.6 - 2004.3

Awards

  • Best Poster Award

    2019.11   The 21st International Conference on Asian Digital Libraries   21st International Conference on Asia-Pacific Digital Libraries (ICADL 2019)でのPoster 発表 "Improving OCR for Historical Documents by Modeling Image Distortion" に対する賞

  • 優秀論文賞

    2010.9   電子情報通信学会通信ソサイエティ   電子情報通信学会論文誌に掲載された論文に対する受賞

  • Best Paper Award

    2009.9   Pacific Association for Computational Linguistics   Pacling2009 での発表 Identification among Similar Language Using Statistical Hypothesis Testing に対する受賞

  • FIT2006 論文賞

    2006.9   情報科学技術フォーラム推進委員会   FIT2006 第5回情報科学技術フォーラムにおいて発表した「言語識別技術を応用した英語における母語話者文書・非母語話者文書の判別」に対する受賞

  • Best Paper Award

    2005.8   Pacific Association for Computational Linguistics   Pacling2005での発表 Robust Language Identification for Similar Language and Short Texts using Low-Frequent Byte Strings に対する受賞

  • 研究賞

    1991.10   情報処理学会  

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Papers

  • A BERT-based pretraining model for extracting molecular structural information from a SMILES sequence

    Zheng, XF; Tomiura, Y

    JOURNAL OF CHEMINFORMATICS   16 ( 1 )   71   2024.6   ISSN:1758-2946

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    Language:English   Publisher:Journal of Cheminformatics  

    Abstract: Among the various molecular properties and their combinations, it is a costly process to obtain the desired molecular properties through theory or experiment. Using machine learning to analyze molecular structure features and to predict molecular properties is a potentially efficient alternative for accelerating the prediction of molecular properties. In this study, we analyze molecular properties through the molecular structure from the perspective of machine learning. We use SMILES sequences as inputs to an artificial neural network in extracting molecular structural features and predicting molecular properties. A SMILES sequence comprises symbols representing molecular structures. To address the problem that a SMILES sequence is different from actual molecular structural data, we propose a pretraining model for a SMILES sequence based on the BERT model, which is widely used in natural language processing, such that the model learns to extract the molecular structural information contained in the SMILES sequence. In an experiment, we first pretrain the proposed model with 100,000 SMILES sequences and then use the pretrained model to predict molecular properties on 22 data sets and the odor characteristics of molecules (98 types of odor descriptor). The experimental results show that our proposed pretraining model effectively improves the performance of molecular property prediction Scientific contribution: The 2-encoder pretraining is proposed by focusing on the lower dependency of symbols to the contextual environment in a SMILES than one in a natural language sentence and the corresponding of one compound to multiple SMILES sequences. The model pretrained with 2-encoder shows higher robustness in tasks of molecular properties prediction compared to BERT which is adept at natural language.

    DOI: 10.1186/s13321-024-00848-7

    Web of Science

    Scopus

    PubMed

  • Investigation of ChatGPT Use in Research Data Retrieval Reviewed International journal

    #Motokazu Yamasaki, Yoichi Tomiura, Toshiyuki Shimizu

    Proceedings of International Conference on Asian Digital Libraries 2023   36 - 40   2023.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    In recent years, huge amounts of research data have been generated, and it has become important to search them efficiently and accurately in order to make use of research data. Existing search engines and keyword-based search methods require users to enter appropriate keywords or phrases, and it is difficult to obtain satisfactory results if users do not have detailed information about the desired data. In this study, we investigated whether ChatGPT could be used to reach the desired research data by users who are not familiar with them. Specifically, we investigated whether users could find the research data cited in a research paper by entering the abstract of the paper into ChatGPT and then asking for the data necessary to write the research paper. The results showed that research data could be found in 65% of the cases, confirming that the use of ChatGPT increases the discoverability of research data.

  • Extract spatial distribution of a specific gas from mixed gas data measured by the LSPR gas sensor Reviewed International journal

    #Xiaofan Zheng, #Masato Matsuoka, Kenshi Hayashi, Yoichi Tomiura

    2023 IEEE SENSORS   1 - 4   2023.10   ISSN:1930-0395 ISBN:979-8-3503-0387-2

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Proceedings of IEEE Sensors  

    Visualizing invisible gas molecules can be a great help to our lives. At present, gas sensors can already visualize the spatial distribution of gas mixture, however, the visualization of a specific gas requires further analysis of the measurement data. In this study, matrix decomposition is used to analyze the measurement data of localized surface plasmon resonance (LSPR) gas sensor. To satisfy the linear relationship between the concentration of gas and the output of the device required for applying matrix decomposition, we formulated a procedure for processing the measurement data instead of using them directly. To obtain the diffusion trace of a specific gas, we designed a method to obtain the characteristic output of the specific gas, then by using the characteristic output as the known information, the corresponding diffusion trace can be estimated better through the matrix decomposition algorithm. We used the designed method to analyze the measurement data, and the results show that our method can obtain the spatial distribution of some gas.

    DOI: 10.1109/SENSORS56945.2023.10324923

    Web of Science

    Scopus

    Repository Public URL: https://hdl.handle.net/2324/7237124

  • Investigation of the structure-odor relationship using a Transformer model Reviewed International journal

    #Xiaofan Zheng, Yoichi Tomiura, Kenshi Hayashi

    Journal of Cheminformatics   2022.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    The relationships between molecular structures and their properties are subtle and complex, and the properties of odor are no exception. Molecules with similar structures, such as a molecule and its optical isomer, may have completely different odors, whereas molecules with completely distinct structures may have similar odors. Many works have attempted to explain the molecular structure-odor relationship from chemical and data-driven perspectives. The Transformer model is widely used in natural language processing and computer vision, and the attention mechanism included in the Transformer model can identify relationships between inputs and outputs. In this paper, we describe the construction of a Transformer model for predicting molecular properties and interpreting the prediction results. The SMILES data of 100,000 molecules are collected and used to predict the existence of molecular substructures, and our proposed model achieves an F1 value of 0.98. The attention matrix is visualized to investigate the substructure annotation performance of the attention mechanism, and we find that certain atoms in the target substructures are accurately annotated. Finally, we collect 4462 molecules and their odor descriptors and use the proposed model to infer 98 odor descriptors, obtaining an average F1 value of 0.33. For the 19 odor descriptors that achieved F1 values greater than 0.45, we also attempt to summarize the relationship between the molecular substructures and odor quality through the attention matrix.

    DOI: https://doi.org/10.1186/s13321-022-00671-y

  • Identifying Scholarly Search Skills Based on Resource and Document Selection Behavior among Researchers and Master’s Students in Engineering Reviewed International journal

    @Yasuko Hagiwara, Emi Ishita, Yukiko Watanabe, Yoichi Tomiura

    College & Research Libraries   83 ( 4 )   610 - 630   2022.7

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.5860/crl.83.4.610

  • Automating the Choice Between Single or Dual Annotation for Classifier Training Reviewed International journal

    @Satoshi Fukuda, Emi Ishita, Yoichi Tomiura, @Douglas W. Oard

    Porceedings of the 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021)   233 - 248   2021.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Many emerging digital library applications rely on automated classifiers that are trained using manually assigned labels. Accurately labeling training data for text classification requires either highly trained coders or multiple annotations, either of which can be costly. Previous studies have shown that there is a quality-quantity trade-off for this labeling process, and the optimal balance between quality and quantity varies depending on the annotation task. In this paper, we present a method that learns to choose between higher-quality annotation that results from dual annotation and higher-quantity annotation that results from the use of a single annotator per item. We demonstrate the effectiveness of this approach through an experiment in which a binary classifier is constructed for assigning human value categories to sentences in newspaper editorials.

    DOI: 10.1007/978-3-030-91669-5_19

    Repository Public URL: http://hdl.handle.net/2324/4794468

  • Profile-Decomposing Output of Multi-Channel Odor Sensor Array Reviewed International journal

    #Xiaofan Zheng, Yoichi Tomiura, Kenshi Hayashi, Takaaki Soeda

    ECS Meeting Abstracts   MA2020-01   2020.5

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Repository Public URL: http://hdl.handle.net/2324/4479593

  • Improving OCR for Historical Documents by Modeling Image Distortion Reviewed International journal

    #Keiya Maekawa, Yoichi Tomiura, Satoshi Fukuda, Emi Ishita, Hideaki Uchiyama

    Lecture Notes in Computer Science   11853   312 - 316   2019.11

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-030-34058-2_31

    Repository Public URL: http://hdl.handle.net/2324/2927456

  • Research Paper Search Using a Topic-Based Boolean Query Search and a General Query-Based Ranking Model Reviewed International journal

    Satoshi Fukuda, Yoichi Tomiura, Emi Ishita

    Lecture Notes in Computer Science   11707   65 - 75   2019.8

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1007/978-3-030-27618-8_5

    Repository Public URL: http://hdl.handle.net/2324/2551020

  • Toward Three-Stage Automation of Annotation for Human Values Reviewed International journal

    Emi Ishita, Satoshi Fukuda, Toru Oga, @Douglas W. Oard, @Kenneth R. Fleischmann, Yoichi Tomiura, @An Shou Cheng

    iConference 2019   2019.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Prior work on automated annotation of human values has sought to train text classification techniques to label text spans with labels that reflect specific human values such as freedom, justice, or safety. This confounds three tasks: (1) selecting the documents to be labeled, (2) selecting the text spans that express or reflect human values, and (3) assigning labels to those spans. This paper proposes a three-stage model in which separate systems can be optimally trained for each of the three stages. Experiments from the first stage, document selection, indicate that annotation diversity trumps annotation quality, suggesting that when multiple annotators are available, the traditional practice of adjudicating conflicting annotations of the same documents is not as cost effective as an alternative in which each annotator labels different documents. Preliminary results for the second stage, selecting value sentences, indicate that high recall (94%) can be achieved on that task with levels of precision (above 80%) that seem suitable for use as part of a multi-stage annotation pipeline. The annotations created for these experiments are being made freely available, and the content that was annotated is available from commercial sources at modest cost.

  • Towards Generating Multiple-Choice Tests for Supporting Extensive Reading Reviewed International journal

    Shinjiro Okaku, Yoichi Tomiura, Emi Ishita, Shosaku Tanaka

    Proc. the Seventh International Conference on Mobile, Hybrid, and On-line Learning (eLmL 2015)   2015.2

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    We propose a method for generating multiple-choice test for an English text selected by a learner and its answer, that are used to make a self-assessment whether the learner comprehends the text after reading it. In our method, the system extracts several important sentences from the text, and replaces one word in each of these sentences with its synonym (if possible). One of these sentences is then selected as a correct optional sentence, while further changes to the polarities or nouns in the remaining sentences are carried out to generate distractor optional sentences for the multiple-choice test. Our method has potential to make extensive reading in English more effective.

  • A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values Reviewed International journal

    Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Douglas W. Oard, Kenneth R. Fleischmann, An-Shou Cheng

    Proc. 23th ACM International Conference on Information and Knowledge Management (CIKM 2014)   1 - 10   2014.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    This paper describes a probabilistic latent variable model that is designed to detect human values such as justice or freedom that a writer has sought to reflect or appeal to when participating in a public debate. The proposed model treats the words in a sentence as having been chosen based on specific values; values reflected by each sentence are then estimated by aggregating values associated with each word. The model can determine the human values for the word in light of the influence of the previous word. This design choice was motivated by syntactic structures such as noun+noun, adjective+noun, and verb+adjective. The classifier based on the model was evaluated on a test collection containing 102 manually annotated documents focusing on one contentious political issue --- Net neutrality, achieving the highest reported classification effectiveness for this task. We also compared our proposed classifier with human second annotator. As a result, the proposed classifier effectiveness is statistically comparable with human annotators.

    Repository Public URL: http://hdl.handle.net/2324/1833092

  • Extracting Representative Words of a Topic Determined by Latent Dirichlet Allocation Reviewed

    Toshiaki Funatsu, Yoichi Tomiura, Emi Ishita, Kosuke Furusawa

    Proc. The Sixth International Conference on Information, Process, and Knowledge Management (eKNOW 2014)   2014.3

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    Language:English   Publishing type:Research paper (other academic)  

    Determining the topic of a document is necessary to understand the content of the document efficiently. Latent Dirichlet Allocation (LDA) is a method of analyzing topics. In LDA, a topic is treated as an unobservable variable to establish a probabilistic distribution of words. We can interpret the topic with a list of words that appear with high probability in the topic. This method works well when determining a topic included in many documents having a variety of contents. However, it is difficult to interpret the topic just using conventional LDA when determining the topic in a set of article abstracts found by a keyword search, because their contents are limited and similar. We propose a method to estimate representative words of each topic from an LDA result. Experimental results show that our method provides better information for interpreting a topic than LDA does.

  • コーパス構築と著作権 ― Web を源とした質情報付き英語科学論文コーパス Reviewed

    田中省作,安東奈穂子,冨浦洋一

    英語コーパス研究   ( 19 )   2012.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Web文書を利用したコーパスの構築と利用に関して,番号69の論文で述べたプロジェクトを実例として,改正著作権法(2009年改正,2010年施行)の下での取り扱いについて議論を報告した.

  • Webを源とした質情報付き英語科学論文コーパスの構築法 Reviewed

    田中省作,柴田雅博,冨浦洋一

    英語コーパス研究   18   2011.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • 日本語学習者の動詞選択における誤用と正用の関係:作文支援のための基礎研究 Reviewed

    中野てい子,冨浦洋一

    自然言語処理   2011.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Relationship between Errors and Corrections in Verb Selection: Basic Research for Composition Support,
    Journal of Natural Language Processing, Vol.18, No.1, pp.3-29

  • 日本語作文支援における共起を利用した代替候補提示システム Reviewed

    中野てい子,冨浦洋一

    日本教育工学会論文誌   2010.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    A System Providing Appropriate Alternative Candidates for Japanese Writing using Word Co-occurrence,
    T. Nakano, Y. Tomiura, Jpn. J. Educ. Technol., 34(3), pp.181-189 (2010)

  • Providing Appropriate Alternative Co-occurrence Candidates; Towards a Japanese Composition Support System Reviewed International journal

    Teiko NAKANO, Yoichi TOMIURA

    Proc. of the Ninth IASTED International Conference on Web-Based Education   2010.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • 雑談自由対話を実現するためのWWW上の文書からの妥当な候補文選択手法 (2009年) Reviewed

    柴田雅博,冨浦洋一,西口友美

    人工知能学会論文誌   2009.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Method for Selecting Appropriate Sentence from Documents on the WWW for the Open-ended Conversation Dialog System

  • Dialog System for Open-ended Conversation Using Web Documents Reviewed International journal

    Masahiro Shibata, Tomomi Nishiguchi, Yoichi Tomiura

    Informatica   2009.10

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    Language:English   Publishing type:Research paper (scientific journal)  

    Repository Public URL: http://hdl.handle.net/2324/1833090

  • Identification among Similar Languages Using Statistical Hypothesis Testing Reviewed International journal

    M. Shibata, Y. Tomiura, T. Mizuta

    Proc. of Pacific Association for Computational Linguistics (PACLING'09)   2009.9

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  • 確率的変換に基づくインターネット調査手法の解析 Reviewed

    田上敦士,佐々木力,長谷川輝之,阿野茂浩,冨浦洋一

    電子情報通信学会論文誌   2009.4

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Analysis of Answering Method with Probability Conversion for Internet Research

  • 仮説検定に基づく英文書の母語話者性の判別 Reviewed

    冨浦 洋一,青木 さやか,柴田 雅博,行野 顕正

    自然言語処理   2009.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Discernment of Nativeness of English Documents Based on Statistical Hypothesis Testing,
    Y. Tomiura, S. Aoki, M. Shibata, K. Yukino,
    Journal of Natural Language Processing, Vol.16, No.1, pp.23-46 (2009)

  • A Method for Automatically Generating Proper Responses to User's Utterances in Open-ended Conversation by Retrieving Documents on the Web Reviewed International journal

    Masahiro Shibata, Tomomi Nishiguchi, Yoichi Tomiura

    Proc. of 2008 IEEE International Conference on Information Reuse and Integration (IEEE IRI'08)   2008.7

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Optimization of Answering Method with Probability Conversion Reviewed International journal

    Atsushi TAGAMI, Chikara SAKAKI, Teruyuki HASEGAWA, Shigehiro ANO, Yoichi TOMIURA

    Proc. of 2008 International Symposium on Applications and the Internet (SAINT'08)   2008.7

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Analysis of Answering Method with Probability Conversion for Internet Research Reviewed International journal

    Atsushi TAGAMI, Chikara SAKAKI, Teruyuki HASEGAWA, Shigehiro ANO, Yoichi TOMIURA

    Fifth IEEE Consumer Communications & Networking Conference (CCNC'08)   2008.1

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • 統計的アプローチによる英語スラッシュ・リーディング教材の自動生成 Reviewed

    行野 顕正,田中 省作,冨浦 洋一,柴田 雅博

    情報処理学会論文誌   2007.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • 言語識別技術を応用した英語における母語話者文書・非母語話者文書の判別 Reviewed

    青木 さやか,冨浦 洋一,行野 顕正,谷川 龍司

    情報科学技術レターズ   2006.9

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    Language:Japanese   Publishing type:Research paper (other academic)  

    Documents Discrimination between Native English Documents and Nonnative Ones Based on Language Identification Technique

    S. Aoki, Y. Tomiura, K. Yukino, R. Tanigawa

    Information Technology Letters, Vol.5, pp.85-88

  • 記号列を入出力とするニューラルネットの学習法 Reviewed

    本木 実,冨浦 洋一,高橋 直人

    情報処理学会論文誌   2006.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    A Learning Method of a Layered Neural Network Whose Inputs and Outputs are Symbol Sequences,

    M. Motoki, Y. Tomiura, N. Takahashi

    IPSJ Journal, Vol.47, No.8, pp.2279--2791

  • 低頻度 byte 列を活用した言語識別 Reviewed

    行野 顕正,田中 省作,冨浦 洋一,松本 英樹

    情報処理学会論文誌   2006.4

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Language Identification Using Low-frequent Byte-strings

    K. Yukino, S. Tanaka, Y. Tomiura, H. Matsumoto

    IPSJ Journal, Vol.47, No.4, pp.1287--1294

  • NS/NNS論文分類モデルに基づく日本人英語科学論文の特徴抽出 Reviewed

    田中 省作,藤井 宏,冨浦 洋一,徳見 道夫

    英語コーパス研究   2006.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • Estimating Satisfactoriness of Selectional Restriction from Corpus without Thesaurus Reviewed International journal

    Y. Tomiura, S. Tanaka, T. Hitaka

    ACM Transactions on Asian Language Information Processing   2005.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    Estimating Satisfactoriness of Selectional Restriction from Corpus without Thesaurus

    Y. Tomiura, S. Tanaka, T. Hitaka

    ACM Transactions on Asian Language Information Processing, Vol.4, No.4, pp.400--416

  • Skew Divergence に基づく文書の母語話者性の推定 Reviewed

    藤井 宏,冨浦洋一,田中省作

    自然言語処理(言語処理学会論文誌)   2005.8

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Estimation of Nativeness of Documents Based on Skew Divergence,
    H. Fujii, Y. Tomiura, S. Tanaka,
    Journal of Natural Language Processing, Vol. 12, No. 4, pp.79-96 (2005)

  • Robust Language Identification for Similar Languages and short texts using Low-Frequent Byte Strings Reviewed International journal

    K. YUKINO, S. TANAKA, Y. TOMIURA, H. MATSUMOTO

    Pacific Association for Computational Linguistics 2005 (Pacling 2005)   2005.8

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    Robust Language Identification for Similar Languages and short texts using Low-Frequent Byte Strings,
    Kensei Yukino, Shosaku Tanaka, Yoichi Tomiura and Hideki Matsumoto,
    Pacific Association for Computational Linguistics 2005 (Pacling 2005),
    pp.368-373

  • Web上の語の共起性に基づいたコロケーションの翻訳支援 Reviewed

    柴田雅博,冨浦洋一,田中省作

    情報処理学会論文誌   2005.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Assisting with Translating Collocations Based on the Word Co-occurrence on the Web Texts,
    M. Shibata, Y. Tomiura, S. Tanaka,
    IPSJ Journal, Vol.46, No.6, pp.1480-1491 (2005)

  • Problems of FGREP Module and Their Solution Reviewed International journal

    M. Motoki, Y. Tomiura, N. Takahashi

    3rd IEEE International Conference on Cognitive Informatics (ICCI2004)   220 - 227   2004.8

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Problems of FGREP Module and Their Solution,
    M. Motoki, Y. Tomiura, N. Takahashi,
    in Proc. of 3rd IEEE International Conference on Cognitive Informatics, pp.220-227 (2004)

    DOI: 10.1109/COGINF.2004.1327479

  • A Method for Retrieving Translations of Collocation in Web Data Reviewed International journal

    Masahiro SHIBATA, Yoichi TOMIURA, Shosaku TANAKA

    Asian Symposium on Natural Language Processing to Overcome Language Barriers (in conjunction with IJCNLP-04)   2004.3

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  • 共起データに基づく名詞の多次元空間への配置 Reviewed

    冨浦洋一,田中省作,日高 達

    人工知能学会論文誌   2004.1

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    Placement of Nouns in a Multi-Dimensional Space Based on Words' Cooccurrency

    Yoichi TOMIURA, Shosaku TANAKA, Toru HITAKA

    Transactions of the Japanese Society for Artificial Intelligence, Vol.19, No.1A, pp.1-9

  • 言語コーパスからの語の共起性の推定 Reviewed

    冨浦洋一,日高 達

    情報処理学会論文誌   2004.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Estimation of Words' Cooccurrency from Corpus

    Yoichi TOMIURA, Toru HITAKA

    IPSJ Journal, Vol.45, No.1, pp.324-332

  • PP-attachment Ambiguity Resolution Using a Neural Network wiht Modified FGREP Method Reviewed International journal

    TAKAHASHI Naoto, MOTOKI Minoru, SHIMAZU Yoshio, TOMIURA Yoichi, HITAKA Toru

    the 2nd Workshop on Natural Language Processing and Neural Networks (post-conference workshop of NLPRS2001)   2001.11

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  • 係り受け文脈自由文法とその日本語への適用 Reviewed

    田辺利文,冨浦洋一,日高達

    情報処理学会論文誌   2000.1

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Context Free Grammar Expressing Dependency Constraint and its Application to Japanese Language

    Toshifumi TANABE, Yoichi TOMIURA, Toru HITAKA

    IPSJ Journal, Vol.41, No.1, pp.36 - 45

  • スパ−スな学習デ−タにおける確率係り受け文脈自由文法の確率パラメタの推定法 Reviewed

    冨浦洋一,日高達

    情報処理学会論文誌   1999.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    A Parameter Estimation of PCFG Expressing Dependency Constraints on a Sparse Sample

    Yoichi TOMIURA, Toru HITAKA

    IPSJ Journal, Vol.40, No.11, pp.4055 - 4063

  • 意味範疇の散らばりに基づいた名詞の統語範疇の分類 Reviewed

    田中省作,冨浦洋一,日高達

    情報処理学会論文誌   1999.9

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Classification of Syntactic Categories of Nouns by the Scattering of Semantic Categories

    Shosaku TANAKA, Yoichi TOMIURA, Toru HITAKA

    IPSJ Journal, Vol.40, No.9, pp.3387 - 3396

  • k-NN 推定法に基づく統語的あいまいさ解消法 Reviewed

    冨浦洋一,日高達

    電子情報通信学会論文誌 D-II   1997.9

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • 名詞句「NPのNP」の意味構造 Reviewed

    冨浦洋一 中村貞吾 日高達

    情報処理学会論文誌   1995.6

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Semantic Structure of Japanese Noun Phrasese "NP 'no' NP",
    Yoichi TOMIURA, Teigo NAKAMURA, Toru HITAKA,
    IPSJ Journal, Vol.36, No.6, pp.1441-1448 (1995)

  • 常識推論における推論の選択と文脈処理への応用 Reviewed

    冨浦洋一 市丸夏樹 日高達

    情報処理学会論文誌   1994.11

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Preference on Common Sense Reasoning and Application to Contextual Processing,
    Yoichi TOMIURA, Natsuki ICHIMARU, Toru HITAKA,
    IPSJ Journal, Vol.35, No.11, pp.2239 - 2248 (1994)

  • 最左部分語検索向き辞書データ構造:Prefix-Closed B-tree Reviewed

    冨浦洋一,中村貞吾,日高達

    情報処理学会論文誌   1994.5

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    A New Data Structure for Searching Prefix Words: Prefix-Closed B-tree,
    Yoichi TOMIURA, Teigo NAKAMURA, Toru Hitaka,
    IPSJ Journal. Vol.35, No.5, pp.779-789 (2007)

  • Semantic Validity of Japanese Noun Phrases with Adnominal Particles Reviewed International journal

    T. NAKAMURA, Y. TOMIURA, T. HITAKA

    Proc. of the nd Pacific Rim International Conference on Artificial Intelligence   1992.9

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    Publishing type:Research paper (international conference proceedings)  

    Semantic Validity of Japanese Noun Phrases with Adnominal Particles,
    Teigo NAKAMURA, Yoichi TOMIURA, Toru HITAKA,
    in Proc. of PRICAI'92, Vol.1, No.2, pp.433-437 (1992)

  • Logical Form of Hierarchical Relation on Verbs and Extracting it from Definition Sentences in a Japanese Dictionary Reviewed International journal

    Y. TOMIURA, T. NAKAMURA, T. HITAKA, S. YOSHIDA

    Proc. of the th International Conference on Computational Linguistics(Coling-92)   1992.7

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    Logical Form of Hierarchical Relation on Verbs and Extracting it from Definition Sentences in a Japanese Dictionary,
    Yoichi TOMIURA, Teigo NAKAMURA, Toru HITAKA, Sho YOSHIDA,
    in Proc. of COLING'92, Vol.2, No.14, pp.574-580 (1992)

  • 語義文からの動詞間の上位-下位関係の抽出 Reviewed

    冨浦洋一 日高達 吉田将

    情報処理学会論文誌   1991.1

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    Extracting the Superordinate-Subordinate Relation between Verbs from Definition Sentences in Japanese Dictionaries,
    Yoichi TOMIURA, Toru HITAKA, Sho YOSHIDA,
    IPSJ Journal, Vol.32, No.1, pp.42 - 49 (1991)

  • Searching for Physical Documents in Archival Repositories

    Tokinori Suzuki, Douglas W. Oard, Emi Ishita, Yoichi Tomiura

    Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval   2614 - 2618   2024.7   ISBN:9798400704314

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    Publishing type:Research paper (international conference proceedings)   Publisher:ACM  

    Early retrieval systems were used to search physical media (e.g., paper) using manually created metadata. Modern ranked retrieval techniques are far more capable, but they require that content be either born digital or digitized. For physical content, searching metadata remains the state of the art. This paper seeks to change that, using a textual-edge graph neural network to learn relations between items from available metadata and from any content that has been digitized. Results show that substantial improvement over the best prior method can be achieved.

    DOI: 10.1145/3626772.3657896

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  • Automatically Detecting References from the Scholarly Literature to Records in Archives Reviewed International journal

    Tokinori Suzuki, @Douglas W Oard, Emi Ishita, Yoichi Tomiura

    Proceedings of International Conference on Asian Digital Libraries 2023   100 - 107   2023.12

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    Scholars use references in books and articles to materials found in archives as one way of finding those materials, but present systems for archival access do not exploit that information. To change that, the first step is to find archival references in the scholarly literature; that is the focus of this paper. Several classifier designs are compared using a few thousand manually annotated footnotes and endnotes assembled from a large set of open access papers on history. The results indicate that fairly high recall and precision can be achieved.

  • Using the Scatter of Opinions to Predict Responses to Tweets Reviewed International journal

    Tokinori Suzuki, @Shintaro Deguchi, Yoichi Tomiura

    Proceedings of 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022   39 - 42   2022.7

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  • Using the Scatter of Opinions to Predict Responses to Tweets

    Suzuki T., Deguchi S., Tomiura Y.

    Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022   39 - 42   2022   ISBN:9781665497558

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    Publisher:Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022  

    The importance of social media, such as Twitter and Instagram, has increased as a result of COVID-19: with social media, users can easily communicate with other people. Accordingly, social media have produced both new problems and benefits; these have occasionally occurred with upsurges in reactions owing to the huge numbers of social media followers. "Flaming"is a negative aspect of an upsurge: it is a rapid increase in blame, harassment, and insults directed at a person. Conversely, it is possible to use an upsurge to identify popular topics or trends, which is a positive aspect. Predicting the reactions to a social media post is currently very difficult; however, the aim is to prevent the above problems and provide support by forecasting upsurges at an early stage. We observed that such upsurges were affected by the scatter of opinions in the responses. If there are two groups of conflicting opinions, the original social media post tended to receive both sets of opinions. Toward predicting the reactions to a social media post, this study investigate the relationship between the upsurge and scatter of opinions. We quantify the scatter of opinions in the responses, which we term the scatter of replies. We enter that scatter into multiple regression analysis by means of clustering, and we evaluated our reaction prediction method. We found that for most settings, the correlation coefficient between the predicted and actual values exceeded 0.6, which is a moderate level of correlation.

    DOI: 10.1109/IIAIAAI55812.2022.00018

    Scopus

  • Usage of E-books During the COVID-19 Pandemic: A Case Study of Kyushu University Library, Japan Reviewed International journal

    #Mei Kodama, Emi Ishita, Yukiko Watanabe, Yoichi Tomiura

    Diversity, Divergence, Dialogue: 16th International Conference (iConference 2021)   12646 LNCS   475 - 483   2021.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1007/978-3-030-71305-8_40

    Repository Public URL: http://hdl.handle.net/2324/4479592

  • Description of research data in laboratory notebooks: Challenges and opportunities Reviewed International journal

    #Emi Nishida, Emi Ishita, Yukiko Watanabe, Yoichi Tomiura

    Proceedings of the Association for Information Science and Technology   57 ( 1 )   e388   2020.10

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    DOI: 10.1002/pra2.388

    Repository Public URL: http://hdl.handle.net/2324/4479591

  • Using text classification to improve annotation quality by improving annotator consistency Reviewed International journal

    Emi Ishita, Satoshi Fukuda, Yoichi Tomiura, @Douglas W. Oard

    Proceedings of the Association for Information Science and Technology   57 ( 1 )   e301   2020.10

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    DOI: 10.1002/pra2.301

    Repository Public URL: http://hdl.handle.net/2324/4479586

  • Cost-Effective Learning for Classifying Human Values Reviewed International journal

    Emi Ishita, Satoshi Fukuda, Toru Oga, Yoichi Tomiura, @Douglas W. Oard, @Kenneth R. Fleischmann

    Proceedings of 15th iConference 2020   2020.3

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    Cost-Effective Learning for Classifying Human Values

    Repository Public URL: http://hdl.handle.net/2324/4479590

  • 2D LSPR multi gas sensor array with 4-segmented subpixel using Au/Ag core shell structure Reviewed

    Takaaki Soeda, Zhongyuan Yang, Fumihiro Sassa, Yoichi Tomiura, Kenshi Hayashi

    18th IEEE Sensors, SENSORS 2019 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings   2019.10

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    Language:English   Publishing type:Research paper (other academic)  

    LSPR (Localized Surface Plasmon Resonance) based 2D (2 Dimensional) gas imaging sensor system which can capture spatial distribution of each constituent of mixed gas have been developed. The gas image sensor detects the gas promoted optical changes occurred on the LSPR substrate by CCD camera. Basically, LSPR gas sensor does not have a molecular selectivity, then the identification of gas species is difficult. To overcome the disadvantage, pixelated LSPR substrate based on Au/Ag core-shell structure which has different gas response properties is fabricated by photo-induced metal growth by mask-less exposure system using a commercial video projector.

    DOI: 10.1109/SENSORS43011.2019.8956635

  • Which Parts of Search Results do Researchers Check when Selecting Academic Documents? Reviewed

    Emi Ishita, Yasuko Hagiwara, Yukiko Watanabe, Yoichi Tomiura

    18th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2018 JCDL 2018 - Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries   345 - 346   2018.5

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    Language:English   Publishing type:Research paper (other academic)  

    Our goal is to propose an alternative retrieval system of academic documents based on researcher's behavior in practice. In this study, a questionnaire survey was conducted. Question items were developed from findings in the previous observational study for researcher's behavior. From the results of 46 respondents, the top three elements checked in the search results were title, abstract, and the full-text version. They also checked structure "Introduction" in the full-text rather than other structures when they found previous research in an unfamiliar field. These results indicate that researchers use different ways for selecting documents based on the type of documents they look for.

    DOI: 10.1145/3197026.3203867

    Repository Public URL: http://hdl.handle.net/2324/1912801

  • Odorant clustering based on molecular parameter-feature extraction and imaging analysis of olfactory bulb odor maps Reviewed International journal

    #Liang Shang, @Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi

    Sensors and Actuators, B: Chemical   255   508 - 518   2018.2

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    Progress in the molecular biology of olfaction has revealed a close relationship between the structural features of odorants and the response patterns they elicit in the olfactory bulb. Molecular feature-related response patterns, termed odor maps (OMs), may represent information related to basic odor quality. Thus, studying the relationship between OMs and the molecular features of odorants is helpful for better understanding the relationships between odorant structure and odor. Here, we explored the correlation between OMs and the molecular parameters (MPs) of odorants by taking OMs from rat olfactory bulbs and extracting feature profiles of the corresponding odorant molecules. 178 images of glomerular activities in olfactory bulb that are corresponding to odorants were taken from the OdorMapDB, a publicly accessible database. The gray value of each pixel was extracted from the images (178 × 357 pixels) to fabricate an image matrix for each odorant. Forty-six molecular feature parameters were calculated using BioChem3D software, which was used to construct a second matrix for each odorant. Correlation analysis between the two matrixes was first carried out by establishing coefficient maps. Results from hierarchical clustering showed that all parameters could be segregated into seven clusters, and each cluster showed a relatively similar response pattern in the olfactory bulb. Using the information from the OMs and MPs, we mapped odorants in 2D space by incorporating dimension-reducing techniques based on principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE). Artificial neural network models based on the OM and MP feature values were proposed as a means to identify odorant functional groups. An OM-PCA-based model calibrated via extreme learning machine (ELM) was 94.81% and 93.02% accuracy for the calibration and validation sets, respectively. Similarly, an MP-t-SNE-based model calibrated by ELM was 86.67% and 93.35% accuracy for the calibration set and the validation set, respectively. Thus, this research supports a structure-odor relationship from a data-analysis perspective.

    DOI: 10.1016/j.snb.2017.08.024

    Repository Public URL: http://hdl.handle.net/2324/1932612

  • Using Topic Analysis Techniques to Support Comprehensive Research Paper Searches Reviewed International journal

    Satoshi Fukuda, Yoichi Tomiura

    21st International Conference on Asian Language Processing, IALP 2017   314 - 317   2018.1

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    In an academic paper search to confirm the originality of a user's research, it is important that the search returns comprehensive results relevant to the user's information need. To achieve comprehensive search results, users often relax initially restrictive search formula by adding synonyms and expressions similar to the search words with operator OR, and/or replacing AND with OR operations. However, it is difficult to anticipate all the terms that authors of relevant papers might have used. In addition, the replacement of AND with OR in search phrases can return a large number of unrelated papers. To overcome these issues, we propose a research paper search method based on topic analysis, which uses Boolean search based on the topics assigned to the search words in the search formula and the abstracts that contain any search word. Our method considers synonyms and expressions similar to the search words, which a user might not anticipate, while limiting the number of papers unrelated to the information need in the search result. To investigate the effectiveness of our method, we conducted experiments using the NTCIR-1 and 2 datasets, and confirmed that our method shows a reduction effect on unrelated papers, while maintaining high coverage.

    DOI: 10.1109/IALP.2017.8300606

    Repository Public URL: http://hdl.handle.net/2324/1932614

  • Machine-Learning-Based Olfactometer: Prediction of Odor Perception from Physicochemical Features of Odorant Molecules Reviewed International journal

    #Liang Shang, @Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi

    Analytical Chemistry   89 ( 22 )   11999 - 12005   2017.11

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    Gas chromatography/olfactometry (GC/O) has been used in various fields as a valuable method to identify odor-active components from a complex mixture. Since human assessors are employed as detectors to obtain the olfactory perception of separated odorants, the GC/O technique is limited by its subjectivity, variability, and high cost of the trained panelists. Here, we present a proof-of-concept model by which odor information can be obtained by machine-learning-based prediction from molecular parameters (MPs) of odorant molecules. The odor prediction models were established using a database of flavors and fragrances including 1026 odorants and corresponding verbal odor descriptors (ODs). Physicochemical parameters of the odorant molecules were acquired by use of molecular calculation software (DRAGON). Ten representative ODs were selected to build the prediction models based on their high frequency of occurrence in the database. The features of the MPs were extracted via either unsupervised (principal component analysis) or supervised (Boruta, BR) approaches and then used as input to calibrate machine-learning models. Predictions were performed by various machine-learning approaches such as support vector machine (SVM), random forest, and extreme learning machine. All models were optimized via parameter tuning and their prediction accuracies were compared. A SVM model combined with feature extraction by BR-C (confirmed only) was found to afford the best results with an accuracy of 97.08%. Validation of the models was verified by using the GC/O data of an apple sample for comparison between the predicted and measured results. The prediction models can be used as an auxiliary tool in the existing GC/O by suggesting possible OD candidates to the panelists and thus helping to give more objective and correct judgment. In addition, a machine-based GC/O in which the panelist is no longer needed might be expected after further development of the proposed odor prediction technique.

    DOI: 10.1021/acs.analchem.7b02389

    Repository Public URL: http://hdl.handle.net/2324/1932613

  • Identifying Key Elements of Search Results for Document Selection in the Digital Age: An Observational Study Reviewed International journal

    #Yasuko Hagiwara, Emi Ishita, #Emiko Mizutani, #Kana Fukushima, Yukiko Watanabe, Yoichi Tomiura

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10647 LNCS   237 - 242   2017.11

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    Academic database systems are vitally important tools for enabling researchers to find relevant, useful articles. Identifying how researchers select documents from search results is an extremely useful measure for improving the functions or interfaces of academic retrieval systems. This study aims to reveal which elements are checked, and in what order, when researchers select from among search results. It consists of two steps: an observational study of search sessions performed by researchers who volunteered, and a questionnaire to confirm whether extracted elements and patterns are used. This article reports findings from the observational study and introduces questions we developed based on the study. In the observational study we obtained data on nine participants who were asked to search for documents using information retrieval systems. The search sessions were recorded using a voice recorder and by capturing screen images. The participants were also asked to state which elements they checked in selecting documents, along with the reasons for their selections. Three patterns of order of checking were found. In pattern 1, seven researchers used titles and abstracts as the primary elements. In pattern 2, the others used titles and then accessed the full text before making a decision on their selection. In pattern 3, one participant searched for images and accessed the full text from the link in those pictures. We also found participants used novel elements for selecting. We subsequently developed items for a questionnaire reflecting the findings.

    DOI: 10.1007/978-3-319-70232-2_20

  • Toward Automating Detection of Human Values in the Nuclear Power Debate Reviewed International journal

    Emi Ishita, Toru Oga, @An Shou Cheng, @Kenneth R. Fleischmann, @Yasuhiro Takayama, @Douglas W. Oard, Yoichi Tomiura

    Proceedings of the Association for Information Science and Technology   54 ( 1 )   714 - 715   2017.10

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    This paper describes the creation of a corpus of newspaper articles about the Fukushima nuclear disaster, a coding frame for content analysis of human values expressed or reflected in that corpus and preliminary results for automation of the content analysis. Understanding the human values that motivate sentiment towards an idea can help to characterize the basis for that sentiment, and this work is a first step toward applying that approach to positions on controversial events reported in the news.

    DOI: 10.1002/pra2.2017.14505401127

  • Constructing Corpus of Scientific Abstracts Annotated with Sentence Roles Reviewed

    Takafumi Yamamoto, Yoichi Tomiura

    Proc. Seventh International Conference on E-Service and Knowledge Management   2016.7

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  • Automatic Dictionary Extraction and Content Analysis Associated with Human Values Reviewed International journal

    Yasuhiro Takayama, Yoichi Tomiura, Kenneth R. Fleischmann, An-Shou Cheng, Douglas W. Oard, Emi Ishita

    Information Engineering Express, International Institute of Applied Informatics   2015.12

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  • Learning curves for automating content analysis: How much human annotation is needed ? Reviewed

    Emi Ishita, Douglas W. Oard, Kenneth R. Fleischmann, Yoichi Tomiura, Yasuhiro Takayama, An-Shou Cheng

    Sixth International Conference on E-Service and Knowledge Management (Special Session on Library Science)   2015.7

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  • An Automatic Dictionary Extraction and Annotation Method Using Simulated Annealing for Detecting Human Values Reviewed

    Yasuhiro Takayama, Yoichi Tomiura, Kenneth R. Fleischmann, An-Shou Cheng, Douglas W. Oard, Emi Ishita

    Sixth International Conference on E-Service and Knowledge Management (Special Session on Library Science)   2015.7

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  • Thematic Analysis of Words that Invoke Values in the Net Neutrality Debate Reviewed International journal

    Kenneth R. Fleischmann, Yasuhiro Takayama, An-Shou Cheng, Yoichi Tomiura, Douglas W. Oard, Emi Ishita

    Proc. i Conference 2015   2015.3

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  • Towards Generating Multiple-Choice Tests for Evaluating Comprehension of Arbitrary English Texts Reviewed International journal

    Shinjiro Okaku, Yoichi Tomiura, Kou Shu, Shosaku Tanaka

    Proc. IIAI 3rd International Conference on Advanced Applied Informatics   220 - 225   2014.8

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  • Extraction of Key Expressions Indicating the Important Sentence from Article Abstracts Reviewed International journal

    Shuhei Otani, Yoichi Tomiura

    Proc. IIAI 3rd International Conference on Advanced Applied Informatics   216 - 219   2014.8

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    In this study, we aim to extract key expressions that indicate the important sentence describing the originalities or contributions from article abstracts. The expense of searching academic information increases because of increases in the number of articles, discipline subdivisions, and promotion of interdisciplinary research. Improving the extraction and presentation of the main points from article abstracts will contribute to reducing academic information search expenses. We extracted pseudo-important sentences from each article abstract based on the ratio of the number of words in the identified sentence that appear in the article title to the number of all words in the sentence. After that, we evaluated the ratio of the number of the pseudo-important sentences including each Ngram to the number of all sentences including that N-gram. We then extracted the N-grams with a ratio as high as the key expressions.

  • Identifying discipline-specific expressions based on institutional repository Reviewed International journal

    Yuichiro Kobayashi, Shosak Tanaka, Yoichi Tomiura, Yoshinori Miyazaki, Michio Tokumi

    Proc. Digital Humanities Australasia 2014   2014.3

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    From the early 1960s, English for the Specific Purposes (ESP) has become one of the prominent fields of English teaching (e.g. Hutchinson and Waters, 1987). It aims to provide learners with academic English skills in a context of tertiary education. In terms of English vocabulary, the Academic Word List (AWL) contains 570 word families selected from academic texts (Coxhead, 2000). The list has been widely known to both academic English teachers and researchers, but does not cover context-bound or topic-dependent vocabulary frequently used in each discipline and sub-discipline.

    The most significant words in each academic context differ depending on the discipline, university, laboratory or researcher. Therefore, it is necessary to compile a large corpus which covers a wide range of academic domains to create a more appropriate word list for researchers in different academic fields. What is more, it is important for language learners to acquire discipline-specific expressions to achieve native-like performance in an ESP context.

    The purpose of this study is to identify discipline-specific expressions, especially multi-word expressions, using institutional repositories and natural language processing techniques. An institutional repository is an online collection of the intellectual output of a research institution. The recent trend of constructing institutional repository in Japan allows researchers to share the same academic resources. The present study demonstrates the effectiveness of creating a multi-word list specific to an institution.

    We used a gapped n-gram approach for the identification of discipline-specific expressions. An ‘n-gram’ is a contiguous sequence of items, such as words or part-of speech tags, and a ‘gapped n-gram,’ or ‘skipgram,’ is a refinement of the n-gram approach designed to detect non-contiguous item associations (e.g. Cheng, Greaves, and Warren, 2006). Our algorithm for extracting gapped n-grams is based on the method proposed by Kozawa, Sakai, Sugiki, and Matsubara (2010). First, we filtered the texts in the institutional repository by the number of words to exclude too short or too long writings. Second, we used TreeTagger, an automatic chunking program, to identify the basic phrase and clause structures. Third, we detected general patterns of multi-word expressions by lemmatizing words except for participial verbs and by replacing determiners and cardinal numbers into part-of-speech tags. Finally, we counted the number of gapped n-grams occurred in the writings collected from each academic disciplines.

    This method enabled us to effectively detect frequent patterns characteristic of each discipline. We applied the method to the QIR, the institutional repository of Kyushu University, using the repository of the Faculty of Information Science and Electrical Engineering (ISEE), and identified discipline-specific expressions for each faculty at the university as an example of the automatic detection of gapped n-grams. We collected 229 writings in the QIR, and successfully obtained 1,061 frequent phrasal expressions specific to ISEE. We expect this study contributes to teaching English for the Specific Purposes and the application of digital library to linguistic research.

  • Improving Automatic Sentence-Level Annotation of Human Values Using Augmented Feature Vectors Reviewed International journal

    Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Zheng Wang, Douglas W. Oard, Kenneth R. Fleischmann, An-Shou Cheng

    Proc. Pacific Association for Computational Linguistics (PACLING'13)   2013.9

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    This paper describes an effort to improve identification of human values that are directly or indirectly invoked within the prepared statements of witnesses before legislative and regulatory hearings. We automatically code human values at the sentence level using supervised machine learning techniques trained on a few thousand annotated sentences. To simulate an actual situation, we treat a quarter of the data as labeled for training and the remaining three quarters of the data as unlabeled for test. We find that augmenting the feature space using a combination of lexical and statistical co-occurrence evidence can yield about a 6% relative improvement in F1 using a Support Vector Machine classifier.

  • Extraction of Alternative Candidates for Unnatural Adjective-Noun Co-occurrence Construction of English Reviewed International journal

    Masahiro Shibata, Toshiaki Funatsu, Yoichi Tomiura

    Procedia - Social and Behavioral Sciences   27   2011.12

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  • 九州大学大学院「ライブラリーサイエンス専攻」の構想と意義 Invited Reviewed

    渡邊由紀子,冨浦洋一,吉田素文,岡崎敦

    情報管理   54 ( 2 )   2011.5

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

  • 位置情報に基づくP2Pネットワークを用いた情報通信プラットフォーム Reviewed

    田上敦士,阿野茂浩,冨浦洋一

    情報処理学会論文誌   52 ( 2 )   2011.2

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    A Platform for Context-aware Notification Service with Location-aware P2P Network

  • Simulation Analysis of Moving Peer Influence on Location-aware P2P Network Reviewed International journal

    Atsushi TAGAMI, Shigehiro ANO, Yoichi TOMIURA

    Proc. of International Conference on Advanced Information Networking and Applications (AINA'10)   2010.4

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Evaluation of a Japanese Composition Support System Reviewed International journal

    Teiko NAKANO, Yoichi TOMIURA

    Proc. of IADIS International Conference e-Society 2010   2010.3

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Webを源とした英語科学論文コーパスの構築 ―技術的方法論と法的観点からの検討― Reviewed

    田中省作,冨浦洋一,安東奈穂子,柴田雅博

    英語コーパス学会第34回大会   2009.10

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    Language:Japanese   Publishing type:Research paper (other academic)  

  • 高速なParzen推定を用いた動的背景モデルによる映像からの物体検出 Reviewed

    田中 達也,島田 敬士,有田 大作,谷口 倫一郎,冨浦 洋一

    映像情報メディア学会誌   2008.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Use of Fast Algorithm for Adaptive Background Modeling with Parzen Density Estimation to Detect Objects,
    T. Tanaka, A. Shimada, D. Arita, R. Taniguchi, Y. Tomiura,
    The Journal of The Institute of Image Information and Television Engineers,
    Vol.62, No.12, pp.2045-2052

  • Measure of Appropriateness of Word Co-occurrence in Japanese for Specific Purposes: Towards a Support System Framework for Writing Technical Japanese Reviewed International journal

    Teiko NAKANO, Yoichi TOMIURA

    Proc. of Empirical Methods for Asian Language Processing Workshop   2008.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Developing a Dialog System for New Idea Generation Support Reviewed International journal

    M. Shibata, Y. Tomiura, H. Matsumoto, T. Nishiguchi, K. Yukino, A. Hino

    Proc. of 21st International Conference on Computer Processing of Oriental Language   2006.12

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Developing a Dialog System for New Idea Generation Support

    M. Shibata, Y. Tomiura, H. Matsumoto, T. Nishiguchi, K. Yukino, A. Hino

    Proc. of 21st International Conference on Computer Processing of Oriental Language

  • コロケーション翻訳支援システムに対する有用性の調査 Reviewed

    柴田 雅博,田中 省作,冨浦 洋一

    九州大学大学院システム情報科学紀要   2005.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Examination about Usefulness of the Method for Translating Collocations Based on the Word Co-occurence on the Web Documents

    M.Shibata, S.Tanaka, Y.Tomiura

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.10, No.1, pp.45--49

    Repository Public URL: http://hdl.handle.net/2324/1516060

  • Web文書中の語の共起性を用いたコロケーション翻訳支援システムの実装 Reviewed

    柴田 雅博,田中 省作,冨浦 洋一

    九州大学大学院システム情報科学紀要   2005.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Implementation of Writing Support System for Translating Collocations Based on the Word Co-occurrence on the Web Documents

    M.Shibata, S.Tanaka, Y.Tomiura

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.10, No.1, pp.39--44

    Repository Public URL: http://hdl.handle.net/2324/1516059

  • A System for Extensive Slash Reading Using Web International journal

    S. Tanaka, Y. Tomiura, K. Yukino

    An Interactive Workshop on Language e-Learning (IWLeL2004)   2004.12

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    A System for Extensive Slash Reading Using Web,
    Shosaku TANAKA, Yoichi TOMIURA, Kensei YUKINO,
    An Interactive Workshop on Language e-Learning (IWLeL2004), pp.133-138

  • Skew Divergence に基づく母語話者/非母語話者文書の判別 Reviewed International journal

    藤井 宏,田中省作,冨浦洋一

    情報科学技術レターズ   2004.9

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    Discrimination of Native/Non-native Documents Based on Skew Divergence,
    H. Fujii, S. Tanaka, Y. Tomiura,
    Information Technology Letters, Vol.3, pp.81-83 (2004)

  • 類語集合対応の推定と英語を介した辞書合成への応用 Reviewed

    田中省作,丸林哲也,冨浦洋一

    九州大学大学院システム情報科学紀要   2004.9

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    Estimation of Synonym's Mappings and its Application to Compiling Translational Dictionary using English,
    S. Tanaka, Y. Marubayashi, Y. Tomiura,
    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.9, No.2, pp.73-78

    Repository Public URL: http://hdl.handle.net/2324/1516050

  • チャンキング過程を考慮したスラッシュ・リーディング用文書の生成

    田中 省作,冨浦 洋一,山本 祥平

    情報基盤センター研究報告   2004.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Generation of Texts for Slash Reading Based on Chunking Process

    S.Tanaka, Y.Tomiura, S.Yamamoto

    Annual Report on Computing and Communication Center, Vol.4, pp.1--8

  • 翻訳文法のための構文解析手法 Reviewed

    柴田 雅博,冨浦 洋一,日高 達

    システム情報科学紀要   2004.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    Parsing Method for the Translation Grammar

    M. Shibata, Y. Tomiura, T. Hitaka

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.9, No.1, pp.31--36

    Repository Public URL: http://hdl.handle.net/2324/1515923

  • 翻訳文法を用いた機械翻訳 Reviewed

    柴田雅博,冨浦洋一,日高 達

    九州大学大学院システム情報科学紀要   2003.3

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    Machine Translation using Translation Grammar

    Masahiro SHIBATA, Toru HITAKA, Yoichi TOMIURA

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.8, No.1, pp.61-66

    Repository Public URL: http://hdl.handle.net/2324/1515819

  • 類語集合による英語を介して導出した対訳候補の絞り込み Reviewed

    田中省作,冨浦洋一

    情報科学技術フォーラム 情報技術レターズ   2002.9

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    Language:Japanese   Publishing type:Research paper (other academic)  

    Judgement on Validity of Candidates of Translations Dirived via English Using Sets of Synonyms

    Shosaku TANAKA, Yoichi TOMIURA

    Forum on Information Technology, Information Technology Letters, pp.75-76

  • 翻訳文法による機械翻訳とその実装 Reviewed

    柴田雅博,日高達,冨浦洋一

    情報基盤センター年報   2002.3

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    mplementation of The Machine Translation System Using The Translation Context Free Grammar

    Masahiro Shibata, Toru Hitaka, Yoichi Tomiura

    Annual Report of Computing and Communication Center Kyushu University, No.2, pp.71-79

  • 汎化された係り受け文脈自由文法の構文解析法 Reviewed

    D. トウシンバット,冨浦洋一,日高 達

    九州大学大学院システム情報科学紀要   2000.9

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    An Efficient Parsing Algorithm for CFG with Robust Dependency Constraints

    Toushinbatto D., Yoichi TOMIURA, Toru HITAKA

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.5, No.2, pp223-227

    Repository Public URL: http://hdl.handle.net/2324/1515687

  • 共起制約を組み込んだ確率文法による名詞句の統語的曖昧さの解消 Reviewed

    田中省作,冨浦洋一,日高 達

    九州大学大学院システム情報科学紀要   2000.3

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    Disambiguation of Syntactic Structures of Japanese Noun Phrases "NP 'no' NP" by PCFG Having Cooccurence Constraints Embedded

    Shosaku TANAKA, Yoichi TOMIURA, Toru HITAKA

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.5, No.1, pp.69-74

    Repository Public URL: http://hdl.handle.net/2324/1513732

  • k-NN 推定法に基づいた名詞句の意味関係の推定 Reviewed

    田中省作,柳瀬康雄,冨浦洋一,日高達

    九州大学大学院システム情報科学研究科報告   1999.9

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    Estimating Semantic Relation of Japanese Noun Phrases based on k-Nearest Neighbor Estimation

    Shosaku TANAKA, Yasuo YANASE, Yoichi TOMIURA, Toru HITAKA

    Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol.4, No.2, pp.159-164

    Repository Public URL: http://hdl.handle.net/2324/1515753

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Books

Presentations

  • 論文調査の支援に向けた研究 ー最新の読むべき論文の判別方法ー

    #佐々木 陸, 清水 敏之, 冨浦 洋一

    第16回データ工学と情報マネジメントに関するフォーラム (DEIM 2024)  2024.3 

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    Event date: 2024.2 - 2024.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • 流通を考慮した研究データのメタデータ付与支援

    #篠原 桐, 清水 敏之, 冨浦 洋一

    第16回データ工学と情報マネジメントに関するフォーラム (DEIM 2024)  2024.2 

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    Event date: 2024.2 - 2024.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • 研究内容からの研究データ検索

    #山﨑 基数, 冨浦 洋一, 清水 敏之

    第16回データ工学と情報マネジメントに関するフォーラム (DEIM 2024)  2024.2 

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    Event date: 2024.2 - 2024.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • Investigation of ChatGPT Use in Research Data Retrieval International conference

    #Motokazu Yamasaki, Yoichi Tomiura, Toshiyuki Shimizu

    International Conference on Asian Digital Libraries 2023  2023.12 

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    Event date: 2023.12

    Language:English  

    Country:Japan  

    In recent years, huge amounts of research data have been generated, and it has become important to search them efficiently and accurately in order to make use of research data. Existing search engines and keyword-based search methods require users to enter appropriate keywords or phrases, and it is difficult to obtain satisfactory results if users do not have detailed information about the desired data. In this study, we investigated whether ChatGPT could be used to reach the desired research data by users who are not familiar with them. Specifically, we investigated whether users could find the research data cited in a research paper by entering the abstract of the paper into ChatGPT and then asking for the data necessary to write the research paper. The results showed that research data could be found in 65% of the cases, confirming that the use of ChatGPT increases the discoverability of research data.

  • Automating the Choice Between Single or Dual Annotation for Classifier Training International conference

    @Satoshi Fukuda, Emi Ishita, Yoichi Tomiura, @Douglas W. Oard

    The 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021)  2021.12 

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    Event date: 2021.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online   Country:Other  

    Many emerging digital library applications rely on automated classifiers that are trained using manually assigned labels. Accurately labeling training data for text classification requires either highly trained coders or multiple annotations, either of which can be costly. Previous studies have shown that there is a quality-quantity trade-off for this labeling process, and the optimal balance between quality and quantity varies depending on the annotation task. In this paper, we present a method that learns to choose between higher-quality annotation that results from dual annotation and higher-quantity annotation that results from the use of a single annotator per item. We demonstrate the effectiveness of this approach through an experiment in which a binary classifier is constructed for assigning human value categories to sentences in newspaper editorials.

    Repository Public URL: http://hdl.handle.net/2324/4794468

  • Improving OCR for Historical Documents by Modeling Image Distortion International conference

    #Keiya Maekawa, Yoichi Tomiura, Satoshi Fukuda, Emi Ishita, Hideaki Uchiyama

    21st International Conference on Asia-Pacific Digital Libraries (ICADL 2019)  2019.11 

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    Event date: 2019.11

    Language:English  

    Venue:Kuala Lumpur   Country:Malaysia  

    Archives hold printed historical documents, many of which have deteriorated. It is difficult to extract text from such images without errors using optical character recognition (OCR). This problem reduces the accuracy of information retrieval. Therefore, it is necessary to improve the performance of OCR for images of deteriorated documents. One approach is to convert images of deteriorated documents to clear images, to make it easier for an OCR system to recognize text. To perform this conversion using a neural network, data is needed to train it. It is hard to prepare training data consisting of pairs of a deteriorated image and an image from which deterioration has been removed; however, it is easy to prepare training data consisting of pairs of a clear image and an image created by adding noise to it. In this study, PDFs of historical documents were collected and converted to text and JPEG images. Noise was added to the JPEG images to create a dataset in which the images had noise similar to that of the actual printed documents. U-Net, a type of neural network, was trained using this dataset. The performance of OCR for an image with noise in the test data was compared with the performance of OCR for an image generated from it by the trained U-Net. An improvement in the OCR recognition rate was confirmed.

    Repository Public URL: http://hdl.handle.net/2324/2927456

  • Research Paper Search Using a Topic-Based Boolean Query Search and a General Query-Based Ranking Model International conference

    Satoshi Fukuda, Yoichi Tomiura, Emi Ishita

    30th International Conference on Database and Expert Systems Applications (DEXA 2019)  2019.8 

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    Event date: 2019.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Linz   Country:Austria  

    Repository Public URL: http://hdl.handle.net/2324/2551020

  • Statistical analysis for clustering of areas on the olfactory bulb and estimation of the physico-chemical properties detected by glomeruli in each area International conference

    Kohei Omori, Yoichi Tomiura, Kenshi Hayashi

    ISOT 2016  2016.6 

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    Event date: 2016.6

    Language:English  

    Venue:Yokohama   Country:Japan  

    Repository Public URL: http://hdl.handle.net/2324/1833089

  • Towards Generating Multiple-Choice Tests for Supporting Extensive Reading International conference

    Shinjiro Okaku, Yoichi Tomiura, Emi Ishita, Shosaku Tanaka

    The Seventh International Conference on Mobile, Hybrid, and On-line Learning (eLmL 2015)  2015.2 

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    Event date: 2015.2

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Lisbon   Country:Portugal  

    We propose a method for generating multiple-choice test for an English text selected by a learner and its answer, that are used to make a self-assessment whether the learner comprehends the text after reading it. In our method, the system extracts several important sentences from the text, and replaces one word in each of these sentences with its synonym (if possible). One of these sentences is then selected as a correct optional sentence, while further changes to the polarities or nouns in the remaining sentences are carried out to generate distractor optional sentences for the multiple-choice test. Our method has potential to make extensive reading in English more effective.

  • A Word-Scale Probabilistic Latent Variable Model for Detecting Human Values International conference

    Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Douglas W. Oard, Kenneth R. Fleischmann, An-Shou Cheng

    ACM International Conference on Information and Knowledge Management (CIKM2014)  2014.12 

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    Event date: 2014.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Shanghai   Country:China  

    This paper describes a probabilistic latent variable model that is designed to detect human values such as justice or freedom that a writer has sought to reflect or appeal to when participating in a public debate. The proposed model treats the words in a sentence as having been chosen based on specific values; values reflected by each sentence are then estimated by aggregating values associated with each word. The model can determine the human values for the word in light of the influence of the previous word. This design choice was motivated by syntactic structures such as noun+noun, adjective+noun, and verb+adjective. The classifier based on the model was evaluated on a test collection containing 102 manually annotated documents focusing on one contentious political issue --- Net neutrality, achieving the highest reported classification effectiveness for this task. We also compared our proposed classifier with human second annotator. As a result, the proposed classifier effectiveness is statistically comparable with human annotators.

  • Extracting Representative Words of a Topic Determined by Latent Dirichlet Allocation International conference

    Toshiaki Funatsu, Yoichi Tomiura, Emi Ishita, Kosuke Furusawa

    eKNOW 2014 (Digital World 2014)  2014.3 

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    Event date: 2014.3

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Novotel Barcelona Sant Joan Despi (Barcelona)   Country:Japan  

    Determining the topic of a document is necessary to understand the content of the document efficiently. Latent Dirichlet Allocation (LDA) is a method of analyzing topics. In LDA, a topic is treated as an unobservable variable to establish a probabilistic distribution of words. We can interpret the topic with a list of words that appear with high probability in the topic. This method works well when determining a topic included in many documents having a variety of contents. However, it is difficult to interpret the topic just using conventional LDA when determining the topic in a set of article abstracts found by a keyword search, because their contents are limited and similar. We propose a method to estimate representative words of each topic from an LDA result. Experimental results show that our method provides better information for interpreting a topic than LDA does.

  • Extraction of Alternative Candidates for Unnatural Adjective-Noun Co-occurrence Construction of English International conference

    M. Shibata, T. Funatsu, Y. Tomiura

    Pacific Association for Computational Linguistics (PACLING'11)  2011.7 

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    Event date: 2011.7

    Presentation type:Oral presentation (general)  

    Venue:International Islamic University   Country:Malaysia  

  • Providing Appropriate Alternative Co-occurrence Candidates; Towards a Japanese Composition Support System International conference

    Teiko NAKANO, Yoichi TOMIURA

    The Ninth IASTED International Conference on Web-Based Education (WBE2010)  2010.3 

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    Event date: 2010.3

    Presentation type:Oral presentation (general)  

    Venue:Porto   Country:Portugal  

  • Evaluation of a Japanese Composition Support System International conference

    Teiko NAKANO, Yoichi TOMIURA

    IADIS International Conference e-Society 2010  2010.3 

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    Event date: 2010.3

    Presentation type:Oral presentation (general)  

    Country:Egypt  

  • Webを源とした英語科学技術論文コーパスの構築 -技術的方法論と法的観点からの検討―

    田中省作,冨浦洋一,安東奈穂子,柴田雅博

    英語コーパス学会第34回大会  2009.10 

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    Event date: 2009.10

    Presentation type:Oral presentation (general)  

    Venue:青山学院大学(東京都)   Country:Japan  

  • Identification among Similar Languages Using Statistical Hypothesis Testing International conference

    Masahiro SHIBATA, Yoichi TOMIURA, Takaaki MIZUTA

    Pacific Association for Computational Linguistics (PACLING'09)  2009.9 

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    Event date: 2009.9

    Presentation type:Oral presentation (general)  

    Country:Japan  

  • Analysis of Answering Method with Probability Conversion for Internet Research International conference

    Atsushi TAGAMI, Chikara SAKAKI, Teruyuki HASEGAWA, Shigehiro ANO, Yoichi TOMIURA

    Fifth IEEE Consumer Communications & Networking Conference (CCNC'08)  2008.1 

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    Event date: 2008.1

    Venue:Las Vegas   Country:United States  

    Analysis of Answering Method with Probability Conversion for Internet Research,
    Atsushi TAGAMI, Chikara SAKAKI, Teruyuki HASEGAWA, Shigehiro ANO, Yoichi TOMIURA,
    Fifth IEEE Consumer Communications & Networking Conference (CCNC'08)

  • 名詞句「NP の NP」の意味関係とその統計的性質

    田中省作,飯田健二,冨浦洋一,日高 達

    言語処理学会第4回年次大会  1998.3 

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    Presentation type:Oral presentation (general)  

    Venue:九州大学(福岡市)   Country:Japan  

  • 言語コーパスからの語の共起性の推定

    冨浦洋一,田中省作,日高達

    言語処理学会第8回年次大会  2002.3 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

  • A Method for Retrieving Translations of Collocation in Web Data International conference

    M. Shibata, Y. Tomiura, S. Tanaka

    IJCNLP-04 Satellite Symposium  2004.3 

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    Presentation type:Oral presentation (general)  

    Country:China  

    A Method for Retrieving Translations of Collocation in Web Data,
    M. Shibata, Y. Tomiura, S Tanaka,
    IJCNLP-04 Satellite Symposium

  • Problems of FGREP Module and Their Solution International conference

    M. Motoki, Y. Tomiura, N. Takahashi

    3rd IEEE International Conference on Cognitive Informatics (ICCI2004)  2004.8 

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    Presentation type:Oral presentation (general)  

    Venue:ビクトリア大学   Country:Canada  

    Problems of FGREP Module and Their Solution,
    M. Motoki, Y. Tomiura, N. Takahashi,
    3rd IEEE International Conference on Cognitive Informatics,

  • Robust Language Identification for Similar Languages and short texts using Low-Frequent Byte Strings International conference

    K. Yukino, S. Tanaka, Y. Tomiura, H. Matsumoto

    Pacific Association for Computational Linguistics 2005 (Pacling 2005)  2005.8 

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    Venue:明星大学   Country:Japan  

    Robust Language Identification for Similar Languages and short texts using Low-Frequent Byte Strings,
    Kensei Yukino, Shosaku Tanaka, Yoichi Tomiura and Hideki Matsumoto,
    Pacific Association for Computational Linguistics 2005 (Pacling 2005)

  • 言語識別技術を応用した英語における母語話者文書・非母語話者文書の判別

    青木 さやか,冨浦 洋一,行野 顕正,谷川 龍司

    FIT2006  2006.9 

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    Presentation type:Oral presentation (general)  

    Venue:福岡大学   Country:Japan  

  • Developing a Dialog System for New Idea Generation Support International conference

    Masahiro Shibata, Youichi Tomiura, Hideki Matsumoto, Tomomi Nishiguchi, Kensei Yukino, Akihiro Hino

    21st International Conference on the Computer Processing of Oriental Languages  2006.12 

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    Country:Singapore  

  • Optimization of Answering Method with Probability Conversion International conference

    Atsushi TAGAMI, Chikara SAKAKI, Teruyuki HASEGAWA, Shigehiro ANO, Yoichi TOMIURA

    2008 International Symposium on Applications and the Internet (SAINT'08)  2008.7 

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    Presentation type:Oral presentation (general)  

    Country:Finland  

  • A Method for Automatically Generating Proper Responses to User's Utterances in Open-ended Conversation by Retrieving Documents on the Web International conference

    Masahiro Shibata, Tomomi Nishiguchi, Yoichi Tomiura

    2008 IEEE International Conference on Information Reuse and Integration (IEEE IRI'08)  2008.7 

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    Presentation type:Oral presentation (general)  

    Country:United States  

  • Profile-Decomposing Output of Multi-Channel Odor Sensor Array International conference

    #Xiaofan Zheng, Yoichi Tomiura, Kenshi Hayashi, Takaaki Soeda

    IMCS 2020  2020.5 

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    Language:English  

    Country:Other  

    Repository Public URL: http://hdl.handle.net/2324/4479593

  • Automatically Detecting References from the Scholarly Literature to Records in Archives International conference

    Tokinori Suzuki, @Douglas W Oard, Emi Ishita, Yoichi Tomiura

    International Conference on Asian Digital Libraries 2023  2023.12 

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    Event date: 2023.12

    Language:English  

    Venue:Taipei   Country:Taiwan, Province of China  

    Scholars use references in books and articles to materials found in archives as one way of finding those materials, but present systems for archival access do not exploit that information. To change that, the first step is to find archival references in the scholarly literature; that is the focus of this paper. Several classifier designs are compared using a few thousand manually annotated footnotes and endnotes assembled from a large set of open access papers on history. The results indicate that fairly high recall and precision can be achieved.

  • Extract spatial distribution of a specific gas from mixed gas data measured by the LSPR gas sensor International conference

    #Xiaofan Zheng, #Masato Matsuoka, Kenshi Hayashi, Yoichi Tomiura

    IEEE Sensors 2023  2023.10 

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    Event date: 2023.10 - 2023.11

    Language:English  

    Venue:Vienna   Country:Austria  

    Visualizing invisible gas molecules can be a great help to our lives. At present, gas sensors can already visualize the spatial distribution of gas mixture, however, the visualization of a specific gas requires further analysis of the measurement data. In this study, matrix decomposition is used to analyze the measurement data of localized surface plasmon resonance (LSPR) gas sensor. To satisfy the linear relationship between the concentration of gas and the output of the device required for applying matrix decomposition, we formulated a procedure for processing the measurement data instead of using them directly. To obtain the diffusion trace of a specific gas, we designed a method to obtain the characteristic output of the specific gas, then by using the characteristic output as the known information, the corresponding diffusion trace can be estimated better through the matrix decomposition algorithm. We used the designed method to analyze the measurement data, and the results show that our method can obtain the spatial distribution of some gas.

  • Using the Scatter of Opinions to Predict Responses to Tweets International conference

    Tokinori Suzuki, @Shintaro Deguchi, Yoichi Tomiura

    2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022  2022.7 

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    Event date: 2022.7

    Language:English   Presentation type:Oral presentation (general)  

    Country:Japan  

  • Description of research data in laboratory notebooks: Challenges and opportunities International conference

    #Emi Nishida, Emi Ishita, Yukiko Watanabe, Yoichi Tomiura

    ASIS&T 2020  2020.10 

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    Event date: 2020.10 - 2020.11

    Language:English  

    Venue:Online   Country:Other  

    Repository Public URL: http://hdl.handle.net/2324/4479591

  • Using text classification to improve annotation quality by improving annotator consistency International conference

    Emi Ishita, Satoshi Fukuda, Yoichi Tomiura, @Douglas W Oard

    ASIS&T 2020  2020.10 

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    Event date: 2020.10 - 2020.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online   Country:Other  

    Repository Public URL: http://hdl.handle.net/2324/4479586

  • Content Analysis of Library Use on Microblog: Pre-coding Results International conference

    #M. Kodama, #K. Abe, #K. Fukushima, #E. Hayashi, #Z. Hua, #M. Jiang, #P. Kang, #E. Nishida, #S. Sakai, Y. Tomiura, Y. Watanabe, E. Ishita

    9th Asia-Pacific Conference on Library & Information Education and Practice (A-LIEP 2019)  2019.11 

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    Event date: 2019.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kuala Lumpur   Country:Malaysia  

  • Photovoice for Student Out-of-Class Learning International conference

    #K. Fukushima, E. Ishita, Y. Tomiura, Y. Watanabe, H. Uchiyama

    9th Asia-Pacific Conference on Library & Information Education and Practice (A-LIEP 2019)  2019.11 

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    Event date: 2019.11

    Language:English  

    Venue:Kuala Lumpur   Country:Malaysia  

  • A framework for sharing learner generated contents in collaborative learning International conference

    H. Uchiyama, E. Ishita, Y. Watanabe, Y. Tomiura, A. Shimada, M. Yamada

    9th Asia-Pacific Conference on Library & Information Education and Practice (A-LIEP 2019)  2019.11 

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    Event date: 2019.11

    Language:English  

    Venue:Kuala Lumpur   Country:Malaysia  

  • 2D LSPR multi gas sensor array with 4-segmented subpixel using Au/Ag core shell structure International conference

    #T. Soeda, #Z. Yang, #Z. Xiofan, F. Sassa, Y. Tomiura and K. Hayashi

    IEEE Sensors  2019.10 

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    Event date: 2019.10

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Montreal   Country:Canada  

  • Two dimensional LSPR gas sensor with Au/Ag core-shell structure International conference

    #Takaaki Soeda, #Zhongyuan Yang, #Zheng Xiofan, Fumihiro Sassa, Yoichi Tomiura, Kenshi Hayashi

    18th International Symposium on Olfaction and Electronic Nose, ISOEN 2019  2019.5 

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    Event date: 2019.5

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Fukuoka   Country:Japan  

    If we can quickly recognize the distribution of dangerous gases, it will be useful in places such as disaster scene. Localized surface plasmon resonance (LSPR) gas sensor is known as a gas sensor with high response / recovery speed and high spatial resolution. However, the general LSPR gas sensor does not have a molecular selectivity and it is difficult to identify the gas species. We made gas selected pixelated LSPR substrate based on Au/Ag core-shell structure by photo-induced growth by exposure system using the photomask.

  • Establishing an International Computational Network for Librarians and Archivists International conference

    @R. Marciano, @V. Lemieux, @M. Hedges, Y. Tomiura, @S. Katuu, @J. Greenberg, @W. Underwood, @K. Fenlon, @A. Kriesberg, @M. Kendig, @G. Jansen, @P. Piety, @D. Weintrop, @M. Kurtz

    14th International Conference on Information in Contemporary Society (iConference2019)  2019.4 

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    Event date: 2019.3 - 2019.4

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Washington   Country:United States  

  • Toward Three-Stage Automation of Annotation for Human Values International conference

    Emi Ishita, Satoshi Fukuda, Toru Oga, @Douglas W. Oard, @Kenneth R. Fleischmann, Yoichi Tomiura, @An Shou Cheng

    14th International Conference on Information in Contemporary Society (iConference2019)  2019.4 

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    Event date: 2019.3 - 2019.4

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Washington   Country:United States  

    Prior work on automated annotation of human values has sought to train text classification techniques to label text spans with labels that reflect specific human values such as freedom, justice, or safety. This confounds three tasks: (1) selecting the documents to be labeled, (2) selecting the text spans that express or reflect human values, and (3) assigning labels to those spans. This paper proposes a three-stage model in which separate systems can be optimally trained for each of the three stages. Experiments from the first stage, document selection, indicate that annotation diversity trumps annotation quality, suggesting that when multiple annotators are available, the traditional practice of adjudicating conflicting annotations of the same documents is not as cost effective as an alternative in which each annotator labels different documents. Preliminary results for the second stage, selecting value sentences, indicate that high recall (94%) can be achieved on that task with levels of precision (above 80%) that seem suitable for use as part of a multi-stage annotation pipeline. The annotations created for these experiments are being made freely available, and the content that was annotated is available from commercial sources at modest cost.

  • A Study for the Support of a Search Formula Creation for the Exhaustive search of an Academic Paper based on a User’s Information Need International conference

    Satoshi Fukuda and Yoichi Tomiura

    10th Asia Library and Information Research Group (ALIRG) Workshop  2018.12 

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    Event date: 2018.12 - 2019.12

    Language:English  

    Venue:Fukuoka   Country:Japan  

  • A Comprehensive Study for Constructing a Large Scale Information Infrastructure of Paper-based Historical Materials International conference

    Yoichi Tomiura, Emi Ishita, Hideaki Uchiyama, Satoshi Fukuda

    10th Asia Library and Information Research Group (ALIRG) Workshop  2018.12 

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    Event date: 2018.12

    Language:English  

    Venue:Fukuoka   Country:Japan  

  • Users’ searching behavior for academic papers International conference

    Emi Ishita, @Yasuko Hagiwara, Yoichi Tomiura

    Workshop at ICADL2018  2018.11 

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    Event date: 2018.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Hamilton   Country:New Zealand  

    Repository Public URL: http://hdl.handle.net/2324/2230669

  • Clustering of Research Papers based on Sentence Roles International conference

    Satoshi Fukuda and Yoichi Tomiura

    20th International Conference on Asia-Pacific Digital Library (ICADL 2018)  2018.11 

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    Event date: 2018.11

    Language:English  

    Venue:Hamilton   Country:New Zealand  

  • Toward a Search Formula Creation Support for the Exhaustive Search of an Academic Paper International conference

    Satoshi Fukuda and Yoichi Tomiura

    Workshop at ICADL2018  2018.11 

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    Event date: 2018.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Hamilton   Country:New Zealand  

    Repository Public URL: http://hdl.handle.net/2324/2230666

  • Exhaustive Search of Academic Paper Using Topic-Based Boolean Query Invited International conference

    Satoshi Fukuda and Yoichi Tomiura

    The 2018 International Symposium on Information Technology Convergence (ISITC 2018)  2018.10 

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    Event date: 2018.10

    Language:English   Presentation type:Oral presentation (general)  

    Venue:全州   Country:Korea, Republic of  

  • Which Parts of Search Results do Researchers Check when Selecting Academic Documents? International conference

    Emi Ishita, #Yasuko Hagiwara, Yukiko Watanabe, Yoichi Tomiura

    JCDL 2018  2018.6 

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    Event date: 2018.6

    Language:English  

    Country:United States  

    Our goal is to propose an alternative retrieval system of academic documents based on researcher’s behavior in practice. In this study, a questionnaire survey was conducted. Question items were developed from findings in the previous observational study for researcher’s behavior. From the results of 46 respondents, the top three elements checked in the search results were title, abstract, and the full-text version. They also checked structure “Introduction” in the full-text rather than other structures when they found previous research in an unfamiliar field. These results indicate that researchers use different ways for selecting documents based on the type of documents they look for.

    Repository Public URL: http://hdl.handle.net/2324/1912801

  • Using Topic Analysis Techniques to Support Comprehensive Research Paper Searches International conference

    Satoshi Fukuda, Yoichi Tomiura

    21st International Conference on Asian Language Processing, IALP 2017  2017.12 

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    Event date: 2017.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Singapore   Country:Singapore  

    In an academic paper search to confirm the originality of a user's research, it is important that the search returns comprehensive results relevant to the user's information need. To achieve comprehensive search results, users often relax initially restrictive search formula by adding synonyms and expressions similar to the search words with operator OR, and/or replacing AND with OR operations. However, it is difficult to anticipate all the terms that authors of relevant papers might have used. In addition, the replacement of AND with OR in search phrases can return a large number of unrelated papers. To overcome these issues, we propose a research paper search method based on topic analysis, which uses Boolean search based on the topics assigned to the search words in the search formula and the abstracts that contain any search word. Our method considers synonyms and expressions similar to the search words, which a user might not anticipate, while limiting the number of papers unrelated to the information need in the search result. To investigate the effectiveness of our method, we conducted experiments using the NTCIR-1 and 2 datasets, and confirmed that our method shows a reduction effect on unrelated papers, while maintaining high coverage.

    Repository Public URL: http://hdl.handle.net/2324/1932614

  • Identifying Key Elements of Search Results for Document Selection in the Digital Age: An Observational Study International conference

    Yasuko Hagiwara, Emi Ishita, Emiko Mizutani, Kana Fukushima, Yukiko Watanabe, Yoichi Tomiura

    19th International Conference on Asia-Pacific Digital Libraries, ICADL 2017  2017.11 

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    Event date: 2017.11

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Bangkok   Country:Thailand  

    Academic database systems are vitally important tools for enabling researchers to find relevant, useful articles. Identifying how researchers select documents from search results is an extremely useful measure for improving the functions or interfaces of academic retrieval systems. This study aims to reveal which elements are checked, and in what order, when researchers select from among search results. It consists of two steps: an observational study of search sessions performed by researchers who volunteered, and a questionnaire to confirm whether extracted elements and patterns are used. This article reports findings from the observational study and introduces questions we developed based on the study. In the observational study we obtained data on nine participants who were asked to search for documents using information retrieval systems. The search sessions were recorded using a voice recorder and by capturing screen images. The participants were also asked to state which elements they checked in selecting documents, along with the reasons for their selections. Three patterns of order of checking were found. In pattern 1, seven researchers used titles and abstracts as the primary elements. In pattern 2, the others used titles and then accessed the full text before making a decision on their selection. In pattern 3, one participant searched for images and accessed the full text from the link in those pictures. We also found participants used novel elements for selecting. We subsequently developed items for a questionnaire reflecting the findings.

  • Toward automating detection of human values in the nuclear power debate International conference

    Ishita, E., Oga, T., @Cheng, A.-S., @Fleischmann, K.R., @Yasuhiro, T., @Oard, D.W., Tomiura, Y.

    Association for Information Science and Technology  2017.10 

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    Event date: 2017.10 - 2017.11

    Language:English  

    Venue:Arlington   Country:United States  

  • A Preliminary Experiment and Analysis to Identify Key Elements in Document Selection International conference

    Yasuko Hagiwara, Emi Ishita, Emiko Mizutani, Yukiko Watanabe, Yoichi Tomiura

    ISIC 2016  2016.9 

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    Event date: 2016.9

    Language:English  

    Venue:University of Zadar   Country:Croatia  

  • Constructing Corpus of Scientific Abstracts Annotated with Sentence Roles International conference

    Takafumi Yamamoto, Yoichi Tomiura

    Seventh International Conference on E-Service and Knowledge Management  2016.7 

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    Event date: 2016.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kumamoto   Country:Japan  

  • Artificial odor cluster map of odorant molecular parameters and odor maps in rat olfactory bulbs International conference

    Liang Shang, Chuanjun Liu, Yoichi Tomiura, Kenshi Hayashi

    ISOT 2016  2016.6 

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    Event date: 2016.6

    Language:English  

    Venue:Yokohama   Country:Japan  

  • Mining Latent Research Groups within Institutions Using an Author‐Topic Model International conference

    Takeshi Shirai, Yoichi Tomiura, Shosaku Tanaka, Ryutaro Ono

    ICADL 2015  2015.12 

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    Event date: 2015.12

    Language:English  

    Venue:Seoul   Country:Korea, Republic of  

  • Encompassing Retrieval of Academic Papers for User's Information Need International conference

    Kosuke Furusawa, Hongjun Fan, Yoichi Tomiura, Emi Ishita

    ICADL 2015  2015.12 

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    Event date: 2015.12

    Language:English  

    Venue:Seoul   Country:Korea, Republic of  

  • An Automatic Dictionary Extraction and Annotation Method Using Simulated Annealing for Detecting Human Values International conference

    Yasuhiro Takayama, Yoichi Tomiura, Kenneth R. Fleischmann, An-Shou Cheng, Douglas W. Oard, Emi Ishita

    Sixth International Conference on E-Service and Knowledge Management  2015.7 

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    Event date: 2015.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Okayama   Country:Japan  

  • Learning curves for automating content analysis: How much human annotation is needed ? International conference

    Emi Ishita, Douglas W. Oard, Kenneth R. Fleischmann, Yoichi Tomiura, Yasuhiro Takayama, An-Shou Cheng

    Sixth International Conference on E-Service and Knowledge Management  2015.7 

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    Event date: 2015.7

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Okayama   Country:Japan  

  • Thematic Analysis of Words that Invoke Values in the Net Neutrality Debate International conference

    Kenneth R. Fleischmann, Yasuhiro Takayama, An-Shou Cheng, Yoichi Tomiura, Douglas W. Oard, Emi Ishita

    i Conference 2015  2015.3 

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    Event date: 2015.3

    Language:English   Presentation type:Oral presentation (general)  

    Venue:California   Country:United States  

  • 機関リポジトリから得られる著者の語彙分布に基づいた部局別重要語彙の選定

    田中 省作, 冨浦 洋一, Michio Tokumi

    人文科学とコンピュータシンポジウム じんもんこ2014  2014.12 

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    Event date: 2014.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:国立情報学研究所   Country:Japan  

  • 機関リポジトリの言語資源としての活用 -大学毎の部局別英語重要語彙の選定

    田中 省作, 冨浦 洋一, 宮崎 佳典, Michio Tokumi

    第62回日本図書館情報学会研 究大会  2014.11 

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    Event date: 2014.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:梅花女子大学   Country:Japan  

  • LDA による有意なトピック分析が可能な文書集合の量的な考察

    古澤昂典, 冨浦 洋一

    FIT2014 第13回情報科学技技術フォーラム  2014.9 

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    Event date: 2014.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:筑波大学   Country:Japan  

  • LDA を用いたトピック分析におけるトピックの理解容易性

    末次展章, 冨浦 洋一

    FIT2014 第13回情報科学技技術フォーラム  2014.9 

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    Event date: 2014.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:筑波大学   Country:Japan  

  • Extraction of Key Expressions Indicating the Important Sentence from Article Abstracts International conference

    Shuhei Otani, Yoichi Tomiura

    ESKM 2014  2014.9 

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    Event date: 2014.8 - 2014.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kitakyushu-shi   Country:Japan  

  • Towards Generating Multiple-Choice Tests for Evaluating Comprehension of Arbitrary English Texts International conference

    Shinjiro OKaku, Yoichi Tomiura, Kou Shu, Shosaku Tanaka

    ESKM 2014  2014.9 

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    Event date: 2014.8 - 2014.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kitakyushu-shi   Country:Japan  

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  • Identifying Discipline-Specific Expressions Based on Institutional Repository International conference

    Yuichiro Kobayashi, Shosak Tanaka, Yoichi Tomiura, Yoshinori Miyazaki, Michio Tokumi

    Digital Humanities  2014.3 

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    Event date: 2014.3

    Language:English   Presentation type:Oral presentation (general)  

    Venue:University of Western   Country:Australia  

  • オーサートピックモデルを用いた論文分析による潜在的研究グループの発掘に関する研究

    小野 龍太郎, 冨浦 洋一, 田中 省作, 上瀧 恵里子

    言語処理学会第20回年次大会  2014.3 

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    Event date: 2014.3

    Language:Japanese  

    Venue:北海道大学   Country:Japan  

  • フレーズ生成機構を組み込んだ潜在変数を有する生成モデルによるトピック分析

    濱田 龍之介, 船津 繁晃, 冨浦 洋一

    情報処理学会自然言語処理研究会第214回研究発表会  2013.11 

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    Event date: 2013.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:屋久島 環境文化村センター   Country:Japan  

  • LDAによるトピック分析におけるトピック内容を示す単語の抽出

    船津 繁晃, 濱田 龍之介, 末次 展章, 冨浦 洋一, 古澤 昂典

    第66回電気関係学会九州支部連合大会  2013.9 

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    Event date: 2013.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • Improving Automatic Sentence-Level Annotation of Human Values Using Augmented Feature Vectors International conference

    Yasuhiro Takayama, Yoichi Tomiura, Emi Ishita, Zheng Wang, Douglas W. Oard, Kenneth R. Fleischmann, An-Shou Cheng

    Pacling  2013.9 

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    Event date: 2013.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Keio University   Country:Japan  

    This paper describes an effort to improve identification of human values that are directly or indirectly invoked within the prepared statements of witnesses before legislative and regulatory hearings. We automatically code human values at the sentence level using supervised machine learning techniques trained on a few thousand annotated sentences. To simulate an actual situation, we treat a quarter of the data as labeled for training and the remaining three quarters of the data as unlabeled for test. We find that augmenting the feature space using a combination of lexical and statistical co-occurrence evidence can yield about a 6% relative improvement in F1 using a Support Vector Machine classifier.

  • 機関リポジトリを活用した英語学術表現リストの階層的構築

    田中 省作, 冨浦 洋一

    言語処理学会  2013.3 

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    Event date: 2013.3

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:名古屋大学   Country:Japan  

  • メタ談話標識を素性とするパターン認識を用いた英語科学論文の質判定

    小林雄一郎, 田中省作, 冨浦洋一

    情報処理学会人文科学とコンピュータ研究会シンポジウム「じんもんこん2011」  2011.12 

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    Event date: 2012.12

    Presentation type:Oral presentation (general)  

    Venue:龍谷大学 大宮キャンパス   Country:Japan  

  • 学校英文法の学参例文データベースとその応用

    田中省作, 小林雄一郎, 徳見道夫, 後藤一章, 冨浦洋一, 柴田雅博

    情報処理学会人文科学とコンピュータ研究会第93回研究発表会  2012.1 

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    Event date: 2012.1

    Presentation type:Oral presentation (general)  

    Venue:奄美市立奄美博物館   Country:Japan  

  • N-gramを素性とするパタン認識を用いた英語科学論文の質判定

    小林雄一郎, 田中省作, 冨浦洋一

    情報処理学会自然言語処理研究会第205回研究発表会  2012.1 

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    Event date: 2012.1

    Presentation type:Oral presentation (general)  

    Venue:福岡大学 六本松キャンパスセミナーハウス   Country:Japan  

  • 情報利用の有効性の観点からの評価表現の分析

    高山泰博, 冨浦洋一

    情報処理学会自然言語処理研究会第205回研究発表会  2012.1 

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    Event date: 2012.1

    Presentation type:Oral presentation (general)  

    Venue:福岡大学 六本松キャンパスセミナーハウス   Country:Japan  

  • ライブラリーサイエンスのチカラ Invited

    上田修一,杉本重雄,冨浦洋一,石田栄美

    第41回ディジタル図書館ワークショップ 情報処理学会 第104回情報基礎とアクセス技術研究会 合同研究会  2011.11 

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    Event date: 2011.11

    Presentation type:Symposium, workshop panel (public)  

    Venue:九州大学 箱崎キャンパス   Country:Japan  

  • 学校文法に基づいた英文解析による言語データの頻度分析

    田中省作,冨浦洋一,徳見道夫

    英語コーパス学会第37回大会  2011.10 

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    Event date: 2011.10

    Presentation type:Oral presentation (general)  

    Venue:京都外国語大学   Country:Japan  

  • ランダムフォレストを用いた英語科学論文の分類と評価

    小林雄一郎,田中省作,冨浦洋一

    情報処理学会 人文科学とコンピュータ研究会第90回研究発表会  2011.5 

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    Event date: 2011.5

    Presentation type:Oral presentation (general)  

    Venue:同志社大学 室町キャンパス(京都府京都市)   Country:Japan  

    近年、非母語話者が書く英語科学論文(以後、論文)と母語話者の論文の分類を通して、両者の様々な言語的差異を抽出することが試みられている。本発表では、まず、論文中の談話表現に着目し、その頻度を素性の候補とするランダムフォレストに基づく分類器を構築する。その分類精度は約90%で類似研究の中でも高いものであった。そして、構築された分類器の素性を分析することで、非母語話者の論文に特徴的な談話表現を抽出する。

  • Simulation Analysis of Moving Peer Influence on Location-aware P2P Network International conference

    Atsushi TAGAMI, Shigehiro ANO, Yoichi TOMIURA

    International Conference on Advanced Information Networking and Applications (AINA'10)  2010.4 

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    Event date: 2010.4

    Presentation type:Oral presentation (general)  

    Country:Australia  

  • 母語話者/非母語話者英語論文コーパスを用いた不自然な英語表現の抽出

    水田貴章,冨浦洋一,柴田雅博,木村 恵

    第62回電気関係学会九州支部連合大会  2009.9 

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    Event date: 2009.9

    Presentation type:Oral presentation (general)  

    Country:Japan  

  • 分割表に対する漸近近似検定としてのχ2検定 Invited

    田中省作,冨浦洋一

    英語コーパス学会第33回大会  2009.4 

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    Event date: 2009.4

    Presentation type:Oral presentation (general)  

    Venue:神戸大学(兵庫県)   Country:Japan  

  • 話題の遷移と意味的関連性を利用した対話システムの開発

    西口 友美,冨浦 洋一,柴田 雅博

    合同エージェントワークショップ&シンポジウム(JAWS)  2007.10 

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    Event date: 2007.10

    Presentation type:Oral presentation (general)  

    Venue:沖縄   Country:Japan  

  • Web上からの母語話者英論文・非母語話者英論文の自動収集システム

    青木 さやか,冨浦 洋一,柴田 雅博

    合同エージェントワークショップ&シンポジウム(JAWS)  2007.10 

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    Event date: 2007.10

    Presentation type:Oral presentation (general)  

    Venue:沖縄   Country:Japan  

  • 言語処理技術を活用したスラッシュ・リーディング用教材の開発

    田中省作,冨浦洋一,行野顕正,池田洋子,徳見道夫,木村 恵

    JUCE 大学教育・情報戦略大会  2007.9 

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    Event date: 2007.9

    Presentation type:Oral presentation (general)  

    Venue:アルカディア市ヶ谷(東京、私学会館)   Country:Japan  

  • Web文書を言語資源とする情報検索型対話システム

    柴田 雅博,冨 浦洋一,西口友美

    人工知能学会  2007.7 

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    Event date: 2007.7

    Presentation type:Oral presentation (general)  

    Country:Japan  

  • 統計的手法を用いた名詞句「NP の NP」の意味関係の抽出法

    田中省作,冨浦洋一,日高 達

    電子情報通信学会 言語理解とコミュニケーション研究会  1998.5 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    Acquisition of Semantic Relations of Japanese Noun Phrases "NP 'no' NO" by using Statistical Property

    Shosaku TANAKA, Yoichi TOMIURA, Toru HITAKA

    Technical Report of IEICE, NLC 98-4

  • スパースな学習データにおける PCFG の確率パラメタの推定法

    冨浦洋一,日高 達

    電子情報通信学会 言語理解とコミュニケーション研究会  1998.7 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    A Parameter Estimation of a Probabilistic Context Free Grammar on a Sparse Sample

    Yoichi TOMIURA, Takeshi NISHIDA, Toru HITAKA

    Tecnical Report of IEICE, NLC 98-12

  • 係り受け文脈自由文法の強化法

    D. トウシンバット,冨浦洋一,日高 達

    情報処理学会自然言語処理研究会  1998.11 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    How to Strengthen a Context Free Grammar Expressing Dependency Constraint

    D. Toushinbatto, Yoichi TOMIURA, Toru HITAKA

    IPSJ SIG Notes, Vol.98, No.99 (98-NL-128)

  • 不完全データに対する判別分析と語の共起性推定への応用

    冨浦洋一,田中省作,日高 達

    電子情報通信学会 言語理解とコミュニケーション研究会  2001.3 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    Discriminant Analysis with Incomplete Data and its Applicatioin to Estimation of Words' Cooccurrency

    Yoichi TOMIURA, Shosaku TANAKA, Toru HITAKA

    Technical Report of IEICE, NLC 2000-76

  • 係り受け情報を用いた名詞句「NP1のNP2」の意味関係の候補の抽出

    田中省作,冨浦洋一,日高 達

    電子情報通信学会 言語理解とコミュニケーション研究会  2001.10 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    Extraction of Candidates having Semantic Relations of Japanese Noun Phrase "NP1 'no' NP2" by Dependency Structures

    Shosaku TANAKA, Yoichi TOMIURA, Toru HITAKA

    Technical Report of IEICE, NLC 2001-46

  • PP-attachment Ambiguity Resolution Using a Neural Network wiht Modified FGREP Method International conference

    TAKAHASHI Naoto, MOTOKI Minoru, SHIMAZU Yoshio, TOMIURA Yoichi, HITAKA Toru

    the 2nd Workshop on Natural Language Processing and Neural Networks (post-conference workshop of NLPRS2001)  2001.11 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    PP-attachment Ambiguity Resolution Using a Neural Network wiht Modified FGREP Method

    TAKAHASHI Naoto, MOTOKI Minoru, SHIMAZU Yoshio, TOMIURA Yoichi, HITAKA Toru

    the 2nd Workshop on Natural Language Processing and Neural Networks (post-conference workshop of NLPRS2001)

  • 類語集合による英語を介して導出した対訳候補の絞り込み

    田中省作,冨浦洋一

    情報科学技術フォーラム  2002.9 

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    Presentation type:Oral presentation (general)  

    Country:Japan  

    Judgement on Validity of Candidates of Translations Derived via English Using Sets of Synonyms

    Shosaku TANAKA, Yoichi TOMIURA

    Forum on Information Technology

  • 共起データに基づく名詞のn次元空間への配置

    冨浦洋一,田中省作,日高 達

    情報処理学会 自然言語処理研究会  2003.3 

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    Presentation type:Oral presentation (general)  

    Venue:徳島大学(徳島市)   Country:Japan  

    Placement of Nouns in n-Dimensional Space Based on Cooccurrency

    Yoichi TOMIURA, Sho TANAKA, Toru HITAKA

    IPSJ SIG Notes, Vol.2003, No.23 (2003-NL-154)

  • Skew Divergence に基づく母語話者/非母語話者文書の判別

    藤井 宏,田中省作,冨浦洋一

    情報科学技術フォーラム  2004.9 

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    Presentation type:Oral presentation (general)  

    Venue:同志社大学(京都府京田辺市)  

    Discrimination of Native/Non-native Documents Based on Skew Divergence,
    H. Fuji, S. Tanaka, Y. Tomiura,
    Forum on Information Technology 2004 (FIT2004)

  • A System for Extensive Slash Reading Using Web International conference

    S. Tanaka, Y. Tomiura, K. Yukino

    An Interactive Workshop on Language e-Learning (IWLeL2004)  2004.12 

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    Venue:早稲田大学   Country:Japan  

    A System for Extensive Slash Reading Using Web,
    Shosaku TANAKA, Yoichi TOMIURA, Kensei YUKINO,
    The 18th Pacific Asia Conference on Language, Information and Computation (PACLIC 18)

  • 類語集合の対応関係に基づく英語を介した対訳辞書の合成

    田中 省作,冨浦洋一

    JACET第6回英語辞書学ワークショップ2005  2005.3 

  • Tracing Japanese EFL Learners' Development in Productive Vocabulary

    M. Kimura, S. Tanaka, Y. Tomiura

    The NICT JLE Corpus Symposium  2005.11 

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    Country:Japan  

    Tracing Japanese EFL Learners' Development in Productive Vocabulary

  • AICに基づいた日本人英語学習者の発話語彙の分析

    田中 省作,冨浦 洋一,木村 恵

    JACET英語語彙研究会第2回研究大会  2005.12 

  • 大規模文章からの意味情報の獲得に関する研究

    松島 洋介,冨浦 洋一

    第2回人工頭脳工学シンポジウム  2006.3 

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    Venue:佐賀大学   Country:Japan  

  • 確率モデルによる英文へのスラッシュ自動挿入手法

    行野顕正,馬場慎也,田中省作,冨浦洋一

    情報処理学会 火の国シンポジウム2006  2006.3 

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    Country:Japan  

  • 思索支援を目的とした対話システム

    西口 友美,柴田 雅博,冨浦 洋一,松本 英樹

    電気関係学会九州支部連合大会  2006.9 

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    Presentation type:Oral presentation (general)  

    Venue:宮崎大学   Country:Japan  

  • AIC基準に基づく事例列からの格フレームの獲得

    馬場 慎也,冨浦 洋一

    電気関係学会九州支部連合大会  2006.9 

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    Presentation type:Oral presentation (general)  

    Venue:宮崎大学   Country:Japan  

  • 母語話者・非母語話者文書を利用したコロケーション誤り指摘システム

    谷川 龍司,冨浦 洋一,行野 顕正

    電気関係学会九州支部連合大会  2006.9 

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    Presentation type:Oral presentation (general)  

    Venue:宮崎大学   Country:Japan  

  • 柔軟性の高いスラッシュ・リーディング用教材作成支援システム

    田中 省作,行野 顕正,冨浦 洋一,北尾 謙治,木村 恵

    日本教育工学会全国大会  2006.11 

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    Presentation type:Oral presentation (general)  

    Venue:関西大学   Country:Japan  

  • 対話における応答文の候補文検索型生成法

    冨浦洋一,柴田雅博,西口友美

    言語処理学会第13回年次大会  2007.3 

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    Venue:龍谷大学   Country:Japan  

  • 仮説検定に基づいた言語識別

    水田 貴章,柴田 雅博,冨浦 洋一

    情報処理学会自然言語処理研究会  2008.11 

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    Presentation type:Oral presentation (general)  

    Venue:九州大学(福岡)   Country:Japan  

  • Measure of Appropriateness of Word Co-occurrence in Japanese for Specific Purpose: Towards a Support System Framework for Writing Technical Japanese International conference

    Teiko NAKANO, Yoichi TOMIURA

    Empirical Methods for Asian Language Processing Workshop  2008.12 

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    Presentation type:Oral presentation (general)  

    Venue:Hanoi   Country:Viet Nam  

  • 機関リポジトリを活用した部局別英語学術表現リストの作成支援

    田中省作, 冨浦 洋一, 宮崎佳典, 小林雄一郎, 徳見 道夫

    情報処理学会  2013.3 

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    Language:Japanese   Presentation type:Oral presentation (general)  

    Country:Japan  

  • Cost-effective learning for classifying human values International conference

    Emi Ishita, Satoshi Fukuda, Toru Oga, Yoichi Tomiura, @Douglas W Oard, @Kenneth R Fleischmann

    iConference 2020  2020.3 

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    Language:English  

    Country:Other  

    Repository Public URL: http://hdl.handle.net/2324/4479590

  • 網羅性を重視した学術論文に対する検索手法

    福田悟志, 冨浦洋一

    研究報告情報基礎とアクセス技術 (IFAT)  2020.7 

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    Language:Japanese  

    Country:Japan  

  • Usage of E-books During the COVID-19 Pandemic: A Case Study of Kyushu University Library, Japan International conference

    #Mei Kodama, Emi Ishita, Yukiko Watanabe, Yoichi Tomiura

    iConference 2021  2021.3 

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    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online   Country:Other  

    Repository Public URL: http://hdl.handle.net/2324/4479592

  • Using the Scatter of Opinions to Predict Responses to Tweets

    Suzuki T., Deguchi S., Tomiura Y.

    2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022  2022 

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    Language:English   Presentation type:Oral presentation (general)  

    DOI: 10.1109/IIAIAAI55812.2022.00018

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MISC

  • 匂いの質と空間の計測・予測・可視化

    林 健司, @劉 傅軍, 冨浦洋一

    日本香料協会会誌「香料」   2023.7

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

  • 特集「研究開発における情報利用と著作権」にあたって

    冨浦洋一

    人工知能学会誌   2010.9

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

  • 博士論文に見る研究テーマの動向

    冨浦洋一

    人工知能学会誌   2008.1

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    Language:Japanese  

  • 博士論文に見る新しい研究の流れ

    冨浦洋一

    人工知能学会誌   2007.1

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    Language:Japanese  

  • Web上の大量文書からの語彙知識の獲得

    冨浦洋一

    人工知能学会誌   2007.1

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    Language:Japanese  

  • 語が使われる環境と意味の獲得

    冨浦洋一

    人工知能学会誌   2005.5

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    Language:Japanese  

  • 小特集「言語獲得」にあたって

    冨浦洋一

    人工知能学会誌   2003.1

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

  • 特集「ここまできた自然言語処理 —例文の収集とその利用—」 編集にあたって

    冨浦洋一,渡辺日出男

    情報処理学会誌   2000.7

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)  

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Professional Memberships

  • 言語処理学会

  • 人工知能学会

  • 情報処理学会

  • 言語処理学会

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  • 情報処理学会

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  • 人工知能学会

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Committee Memberships

  • 情報処理学会   支部委員   Domestic

    2019.4 - 2021.3   

  • 情報処理学会   支部長   Domestic

    2017.4 - 2019.3   

  • 情報処理学会(九州支部)   支部委員   Domestic

    2016.4 - 2017.3   

  • 言語処理学会   Councilor   Domestic

    2010.4 - 2014.3   

  • 情報処理学会九州支部   Organizer   Domestic

    2002.5 - 2004.5   

  • 言語処理学会   Councilor   Domestic

    1998.4 - 2002.3   

  • 電子情報通信学会   言語理解とコミュニケーション専門委員会幹事   Domestic

    1995.5 - 2000.4   

  • 情報処理学会   自然言語処理研究会研究連絡員   Domestic

    1995.4 - 2000.3   

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Academic Activities

  • Conference chairs, a member of host meeting, session chair International contribution

    iConference2022  ( Online ) 2022.2 - 2022.3

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  • 研究データ基盤運営委員会/委員

    Role(s): Review, evaluation

    国立情報学研究所(NII)  2021.4 - 2022.3

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    Type:Scientific advice/Review 

  • 研究データ基盤運営委員会/委員

    Role(s): Review, evaluation

    国立情報学研究所(NII)  2020.10 - 2021.3

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    Type:Scientific advice/Review 

  • General Chair International contribution

    10th Asia Library and Information Research Group (ALIRG) Workshop  ( Fukuoka Japan ) 2018.12

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    Type:Competition, symposium, etc. 

  • Workshopオーガナイザー International contribution

    20th International Conference on Asia-Pacific Digital Library (ICADL 2018)  ( Hamilton NewZealand ) 2018.11

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    Type:Competition, symposium, etc. 

  • 大会委員長

    第71回電気関係学会九州支部連合大会  ( Japan ) 2018.9

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    Type:Competition, symposium, etc. 

  • 座長(Chairmanship)

    第68回電気・情報関係学会九州支部連合大会  ( Japan ) 2015.9

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  • 座長

    電気関係学会九州支部連合大会  ( Japan ) 2015.9

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  • Special Session (Library Science) Organizer International contribution

    ESKM2015  ( Okayama Japan ) 2015.7

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    Type:Competition, symposium, etc. 

  • Special Session Organizer & Session Chair International contribution

    6th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2014)  ( Okayama-shi Japan ) 2015.7

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  • Special Session Organizer International contribution

    5th IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2014)  ( Kitakyushu-shi Japan ) 2014.8 - 2014.9

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  • Scientific Committee, member International contribution

    The 9th International Conference on Language Resources and Evaluation (LREC2014)  ( Reykjavik Iceland ) 2014.5

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  • 大会賞選考委員

    言語処理学会第20回年次大会  ( Japan ) 2014.3

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    Type:Competition, symposium, etc. 

  • Program Committee, member International contribution

    3rd IIAI International Conference on e-Services and Knowledge Management (IIAI ESKM 2012)  ( Japan ) 2012.9

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  • Scientific Committee, member International contribution

    The 8th International Conference on Language Resources and Evaluation (LREC2012)  ( Istanbul Turkey ) 2012.5

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  • Program Committee, member International contribution

    The 23rd International Conference on Computational Linguistics (COLING2010)  ( China ) 2010.8

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  • Scientific Committee, member International contribution

    The 7th International Conference on Language Resources and Evaluation (LREC2010)  ( Malta ) 2010.5

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    Type:Competition, symposium, etc. 

  • 座長(Chairmanship)

    第62回電気関係学会九州支部連合大会  ( Japan ) 2009.9

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  • 座長(Chairmanship)

    FIT2006  ( Japan ) 2006.9

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    Type:Competition, symposium, etc. 

  • プログラム委員

    言語処理学会第11回年次大会  ( Japan ) 2005.3

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  • プログラム委員

    言語処理学会第11回年次大会  ( Japan ) 2005.3

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    Type:Competition, symposium, etc. 

  • 司会(Moderator)

    情報処理学会九州支部若手の会セミナー  ( Japan ) 2003.10

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    Type:Competition, symposium, etc. 

  • 座長(Chairmanship)

    電気関係学会九州支部第56回連合大会  ( Japan ) 2003.9

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    Type:Competition, symposium, etc. 

  • プログラム委員長

    電気関係学会九州支部第56回連合大会  ( Japan ) 2003.9

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    Type:Competition, symposium, etc. 

    Number of participants:700

  • 発表賞選考委員

    言語処理学会第9回年次大会  ( Japan ) 2003.3

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  • 司会(Moderator)

    情報処理学会九州支部若手の会セミナー  ( Japan ) 2002.8

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    Type:Competition, symposium, etc. 

  • 発表賞選考委員

    言語処理学会第8回年次大会  ( Japan ) 2002.3

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  • Conference Committee, member International contribution

    Pacific Association for Computational Linguistics (PACLING'99)  ( Canada ) 1999.8

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  • Conference Committee, member International contribution

    Pacific Association for Computational Linguistics (PACLING'97)  ( Ohme Campus, Meisei University Japan ) 1997.7

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Research Projects

  • NTCIR-18 SUSHI(Search Unseen Sources for Historical Information) Task Project International coauthorship

    2024.3

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    Authorship:Coinvestigator(s) 

    NIIが主催する評価型のワークショップであるNTCIRに応募した検索タスクのプロジェクト.

  • Development of an advanced search system for documents in archives by integrating computational representations of information useful for searching documents

    Grant number:23KK0005  2023 - 2025

    Grants-in-Aid for Scientific Research  International Collaborative Research

    鈴木 釈規, 冨浦 洋一, 石田 栄美, 清水 敏之

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

    特定の組織が作成した特定の主題に関わる文書群を管理・保存するアーカイブズ機関では、高度な文書検索システムが整備されていない。本研究では、アーカイブズ機関で管理される文書を引用している学術文献や、一部電子化されている文書群から検索システムに有益な情報を観察調査により特定を行い、自動抽出手法の構築を行う。それらの情報から順序づけ・類似度計算を可能にする計算可能表現として変換し統合することで、アーカイブズ文書検索システム構築をする。またアーカイブズ機関における文献利用者の支援を達成できるかについて評価を行う。

    CiNii Research

  • 匂いの時空間揺らぎ情報に基づく人探索

    2022.6 - 2027.3

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    Authorship:Coinvestigator(s) 

    科研費基盤(S)での研究プロジェクト(課題番号:22H04952)

  • Human tracing based on spatio-temporal fluctuation of odor

    Grant number:22H04952  2022 - 2026

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (S)

    林 健司, 中野 幸二, 冨浦 洋一, 興 雄司, 竪 直也, 佐々 文洋, 石田 寛

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

    匂いなどの揮発性化学物質情報を光情報に変換する光化学ナノプローブを2次元展開し、匂いの流れや痕跡などの空間分布を見ることができるデバイスを開発し、化学物質空間を高速・高感度、かつ高い空間分解能で可視化する。この化学イメージングデバイスは化学物質情報をハイパースペクトル情報に変換し、多種多様な匂い物質情報を網羅的に取得できる。さらに、開発したセンサデバイスの機能実証研究として、匂い情報キュレーションロボットを構築し、ガス源探索(重要例:危険物漏洩、災害現場での人探索)を実現する。

    CiNii Research

  • 嗅球糸球体層の活性パターン画像と分子パラメタに基づく物質の匂い情報の定量化

    Grant number:21K19796  2021 - 2023

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Challenging Research(Exploratory)

    冨浦 洋一, 林 健司

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    Authorship:Principal investigator  Grant type:Scientific research funding

    感性情報である匂いを客観的に扱うには匂いを定量的に表す必要がある.本研究では匂いを定量化したものを匂いコードと呼ぶ.任意の匂い物質に対してこの匂いコードが求まれば,匂いの識別,匂いの類似性評価,匂いの合成,匂いセンサーの開発などに役立つ.
    本研究では,ラットに約300種類の匂い物質を嗅がせたときの嗅球の糸球体の活性状態を撮影した画像,分子の物理化学的な特性を数量化した匂い物質の分子記述子,SMILES等で表された分子構造,人による匂いの分類である匂い記述子などの情報を基に,任意の匂い物質に対する匂いコードを求める.

    CiNii Research

  • テキストからわかる価値観を対象にした内容分析とその半自動化手法に関する総合的研究

    Grant number:18H03495  2018 - 2021

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    石田 栄美, 冨浦 洋一, 福田 悟志, 大賀 哲

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

    原子力発電所事故関連の新聞記事の社説に表れる人の価値観の内容分析を対象に、これを半自動化するため、内容分析を3ステージに分け、それぞれに分類器を用いるアプローチを提案した。内容分析に必要な分類器を学習するためには人手によるコーディング結果を用いるが、この質を効率的に向上させる手法と、分類器の学習に効果的な学習用データの選択手法を開発した。最後に、新たな価値観カテゴリの発見を支援するための方法を検討した。

    CiNii Research

  • 匂いイメージセンサによる匂い痕跡画像の要素臭プロファイル分解

    Grant number:18H03782  2018 - 2020

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 分子を認識する二次元プラズモニックガスセンサアレイによる匂いの痕跡識別システム

    2017 - 2021

    セコム科学技術振興財団 一般研究助成

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    Authorship:Coinvestigator(s)  Grant type:Contract research

  • 教育の国際化に対応した学修支援環境の構築

    2016 - 2018

    教育の質向上支援プログラム(EEP)

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    Authorship:Principal investigator  Grant type:On-campus funds, funds, etc.

  • ユーザーの視点に立った高度な学術論文検索支援に関する総合的研究

    Grant number:15H01721  2015 - 2018

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 匂いの質と空間の可視化センシング

    Grant number:15H01713  2015 - 2017

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • Computational Social Science Research International coauthorship

    2013.4 - 2021.3

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    Authorship:Coinvestigator(s) 

    Research on supporting the social science research through information science approach using a computer such as NLP

  • 意見文からなる大規模テキスト集合に潜む人々の価値観を推定するための基礎的研究

    Grant number:25280118  2013 - 2016

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 機関リポジトリを活用した潜在的研究クラスタの創出

    Grant number:25540151  2013 - 2015

    Grants-in-Aid for Scientific Research  Grant-in-Aid for challenging Exploratory Research

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 言語処理技術を用いた任意の英文書の内容に関する問題と解答の自動生成

    Grant number:24652122  2012 - 2014

    Grants-in-Aid for Scientific Research  Grant-in-Aid for challenging Exploratory Research

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 機関リポジトリを活用した大学別発信型語彙リストのオーダメイド作成法

    Grant number:24520625  2012 - 2014

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • Web上からの母語話者/非母語話者英語論文コーパスの作成・公開とその利用

    Grant number:20320082  2008 - 2011

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 英文法コーパスの構築とその応用

    Grant number:20520504  2008 - 2011

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 確率関数を利用したネットワークベース調査方式

    2007.7 - 2008.3

    Joint research

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    Authorship:Principal investigator  Grant type:Other funds from industry-academia collaboration

  • Blog 等の非文法的文の自動書き換えプログラムの作成と実験

    2006.11 - 2007.3

    Joint research

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    Authorship:Principal investigator  Grant type:Other funds from industry-academia collaboration

  • ゲームにおけるキャラクタの発話管理システムに関する研究

    2005.6 - 2007.3

    Joint research

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    Authorship:Principal investigator  Grant type:Other funds from industry-academia collaboration

  • 「多読教材の良さ」の再考と Extensive Slash Reading 学習システムの構築

    2005 - 2007

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Coinvestigator(s)  Grant type:Scientific research funding

  • 不完全データに基づく数量化II類と語の共起性判定への応用

    Grant number:13680450  2001 - 2003

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

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    Authorship:Principal investigator  Grant type:Scientific research funding

  • 語の共起性推定に関する研究

    2001 - 2002

    大川情報通信基金研究助成

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    Authorship:Principal investigator  Grant type:Contract research

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Class subject

  • LSS特別講義1

    2024.4 - 2024.6   Spring quarter

  • 研究データ管理基礎

    2023.10 - 2024.3   Second semester

  • 数理統計

    2023.10 - 2024.3   Second semester

  • ライブラリーサイエンスPTLⅠ

    2023.10 - 2024.3   Second semester

  • Natural Language Processing II

    2023.6 - 2023.8   Summer quarter

  • 離散数学Ⅱ(CM)

    2023.6 - 2023.8   Summer quarter

  • 離散数学(C)

    2023.6 - 2023.8   Summer quarter

  • 自然言語処理Ⅱ

    2023.6 - 2023.8   Summer quarter

  • ライブラリーサイエンス特別演習

    2023.4 - 2024.3   Full year

  • 情報理工学演習

    2023.4 - 2024.3   Full year

  • 情報理工学講究

    2023.4 - 2024.3   Full year

  • 情報理工学研究Ⅰ

    2023.4 - 2024.3   Full year

  • 情報理工学研究Ⅱ

    2023.4 - 2024.3   Full year

  • Seminar in IST

    2023.4 - 2024.3   Full year

  • 特別研究Ⅰ

    2023.4 - 2024.3   Full year

  • 特別研究Ⅱ

    2023.4 - 2024.3   Full year

  • ライブラリーサイエンス講究

    2023.4 - 2023.9   First semester

  • 情報理工学論述Ⅰ

    2023.4 - 2023.9   First semester

  • 情報理工学論議Ⅰ

    2023.4 - 2023.9   First semester

  • Research in IST I

    2023.4 - 2023.9   First semester

  • Presentation Methods in IST

    2023.4 - 2023.9   First semester

  • Natural Language Processing I

    2023.4 - 2023.6   Spring quarter

  • 電気情報工学入門

    2023.4 - 2023.6   Spring quarter

  • 離散数学Ⅰ(CM)

    2023.4 - 2023.6   Spring quarter

  • 自然言語処理Ⅰ

    2023.4 - 2023.6   Spring quarter

  • ライブラリーサイエンスPTLⅠ

    2022.10 - 2023.3   Second semester

  • 数理統計

    2022.10 - 2023.3   Second semester

  • Natural Language Processing II

    2022.6 - 2022.8   Summer quarter

  • 自然言語処理Ⅱ

    2022.6 - 2022.8   Summer quarter

  • ライブラリーサイエンス特別演習

    2022.4 - 2023.3   Full year

  • 情報理工学研究Ⅰ

    2022.4 - 2023.3   Full year

  • 情報理工学演習

    2022.4 - 2023.3   Full year

  • 情報理工学講究

    2022.4 - 2023.3   Full year

  • 特別研究Ⅰ

    2022.4 - 2023.3   Full year

  • 特別研究Ⅱ

    2022.4 - 2023.3   Full year

  • プレゼンテーション演習

    2022.4 - 2023.3   Full year

  • ライブラリーサイエンス特別研究

    2022.4 - 2023.3   Full year

  • ライブラリーサイエンス講究

    2022.4 - 2022.9   First semester

  • 離散数学(C)

    2022.4 - 2022.9   First semester

  • 【修士】統計的自然言語処理

    2022.4 - 2022.9   First semester

  • 情報理工学読解

    2022.4 - 2022.9   First semester

  • 情報理工学論述Ⅰ

    2022.4 - 2022.9   First semester

  • Statistical Natural Language Processing

    2022.4 - 2022.9   First semester

  • ライブラリーサイエンス特論

    2022.4 - 2022.9   First semester

  • Natural Language Processing I

    2022.4 - 2022.6   Spring quarter

  • 自然言語処理Ⅰ

    2022.4 - 2022.6   Spring quarter

  • ライブラリーサイエンスPTLⅠ

    2021.10 - 2022.3   Second semester

  • 情報理工学演示

    2021.10 - 2022.3   Second semester

  • 数理統計

    2021.10 - 2022.3   Second semester

  • Natural Language Processing II

    2021.6 - 2021.8   Summer quarter

  • 自然言語処理Ⅱ

    2021.6 - 2021.8   Summer quarter

  • Advanced Research in Information Semantics

    2021.4 - 2022.3   Full year

  • 情報理工学研究Ⅰ

    2021.4 - 2022.3   Full year

  • 情報理工学演習

    2021.4 - 2022.3   Full year

  • 特別研究Ⅰ

    2021.4 - 2022.3   Full year

  • 特別研究Ⅱ

    2021.4 - 2022.3   Full year

  • プレゼンテーション演習

    2021.4 - 2022.3   Full year

  • プレゼンテーション演習

    2021.4 - 2022.3   Full year

  • ライブラリーサイエンス特別研究

    2021.4 - 2022.3   Full year

  • ライブラリーサイエンス特別研究

    2021.4 - 2022.3   Full year

  • ライブラリーサイエンス特別演習

    2021.4 - 2022.3   Full year

  • ライブラリーサイエンス特別演習

    2021.4 - 2022.3   Full year

  • 情報論理学特別講究

    2021.4 - 2022.3   Full year

  • ライブラリーサイエンス講究

    2021.4 - 2021.9   First semester

  • 離散数学(C)

    2021.4 - 2021.9   First semester

  • [M2]【修士】統計的自然言語処理

    2021.4 - 2021.9   First semester

  • 情報理工学読解

    2021.4 - 2021.9   First semester

  • [M2]Statistical Natural Language Processing

    2021.4 - 2021.9   First semester

  • 統合新領域最先端セミナー

    2021.4 - 2021.9   First semester

  • ライブラリーサイエンス特論

    2021.4 - 2021.9   First semester

  • ライブラリーサイエンス特論

    2021.4 - 2021.9   First semester

  • ライブラリーサイエンス講究

    2021.4 - 2021.9   First semester

  • Natural Language Processing I

    2021.4 - 2021.6   Spring quarter

  • 自然言語処理Ⅰ

    2021.4 - 2021.6   Spring quarter

  • 数理統計

    2020.10 - 2021.3   Second semester

  • ライブラリーサイエンスPTLⅠ

    2020.10 - 2021.3   Second semester

  • 統計的自然言語処理

    2020.10 - 2021.3   Second semester

  • ライブラリーサイエンス特別研究

    2020.4 - 2021.3   Full year

  • 情報学講究

    2020.4 - 2021.3   Full year

  • 情報学演習

    2020.4 - 2021.3   Full year

  • 特別研究Ⅰ

    2020.4 - 2021.3   Full year

  • 特別研究Ⅱ

    2020.4 - 2021.3   Full year

  • プレゼンテーション演習

    2020.4 - 2021.3   Full year

  • ライブラリーサイエンス特論

    2020.4 - 2020.9   First semester

  • 電気情報工学入門 I

    2020.4 - 2020.9   First semester

  • 離散数学

    2020.4 - 2020.9   First semester

  • 情報学読解

    2020.4 - 2020.9   First semester

  • 情報学論述Ⅰ

    2020.4 - 2020.9   First semester

  • 情報学論議Ⅰ

    2020.4 - 2020.9   First semester

  • ライブラリーサイエンスPTLⅠ

    2019.10 - 2020.3   Second semester

  • 統計的自然言語処理

    2019.10 - 2020.3   Second semester

  • 数理統計

    2019.10 - 2020.3   Second semester

  • ライブラリーサイエンス特別研究

    2019.4 - 2020.3   Full year

  • 情報学講究

    2019.4 - 2020.3   Full year

  • 情報学演習

    2019.4 - 2020.3   Full year

  • 特別研究Ⅰ

    2019.4 - 2020.3   Full year

  • 特別研究Ⅱ

    2019.4 - 2020.3   Full year

  • プレゼンテーション演習

    2019.4 - 2020.3   Full year

  • ライブラリーサイエンス特論

    2019.4 - 2019.9   First semester

  • 電気情報工学入門 I

    2019.4 - 2019.9   First semester

  • 離散数学

    2019.4 - 2019.9   First semester

  • 情報学読解

    2019.4 - 2019.9   First semester

  • 情報学論述Ⅰ

    2019.4 - 2019.9   First semester

  • 情報学論議Ⅰ

    2019.4 - 2019.9   First semester

  • 情報学論議Ⅱ

    2018.10 - 2019.3   Second semester

  • 数理統計

    2018.10 - 2019.3   Second semester

  • 統計的自然言語処理

    2018.10 - 2019.3   Second semester

  • 情報学演示

    2018.10 - 2019.3   Second semester

  • 情報学論述Ⅱ

    2018.10 - 2019.3   Second semester

  • ライブラリーサイエンス特別研究

    2018.4 - 2019.3   Full year

  • 特別研究Ⅰ

    2018.4 - 2019.3   Full year

  • 特別研究Ⅱ

    2018.4 - 2019.3   Full year

  • プレゼンテーション演習

    2018.4 - 2019.3   Full year

  • ライブラリーサイエンス特論

    2018.4 - 2018.9   First semester

  • 離散数学

    2018.4 - 2018.9   First semester

  • プログラミング演習

    2018.4 - 2018.9   First semester

  • 情報学読解

    2018.4 - 2018.9   First semester

  • 情報学論述Ⅰ

    2018.4 - 2018.9   First semester

  • 情報学論議Ⅰ

    2018.4 - 2018.9   First semester

  • 数理統計

    2017.10 - 2018.3   Second semester

  • 統計的自然言語処理

    2017.10 - 2018.3   Second semester

  • ライブラリーサイエンスPTL I

    2017.10 - 2018.3   Second semester

  • 情報学演習

    2017.4 - 2018.3   Full year

  • プレゼンテーション演習

    2017.4 - 2018.3   Full year

  • 情報学講究

    2017.4 - 2018.3   Full year

  • 電気情報工学入門 I

    2017.4 - 2017.9   First semester

  • ライブラリーサイエンス特論

    2017.4 - 2017.9   First semester

  • 離散数学

    2017.4 - 2017.9   First semester

  • 統計的自然言語処理

    2016.10 - 2017.3   Second semester

  • ライブラリーサイエンスPTL I

    2016.10 - 2017.3   Second semester

  • 数理統計

    2016.10 - 2017.3   Second semester

  • 情報学演習

    2016.4 - 2017.3   Full year

  • プレゼンテーション演習

    2016.4 - 2017.3   Full year

  • 情報学講究

    2016.4 - 2017.3   Full year

  • 電気情報工学入門 I

    2016.4 - 2016.9   First semester

  • 離散数学

    2016.4 - 2016.9   First semester

  • ライブラリーサイエンス特論

    2016.4 - 2016.9   First semester

  • ライブラリーサイエンスPTL I

    2015.10 - 2016.3   Second semester

  • 統計的自然言語処理

    2015.10 - 2016.3   Second semester

  • 自然言語解析

    2015.10 - 2016.3   Second semester

  • 数理統計

    2015.10 - 2016.3   Second semester

  • 情報学演習

    2015.4 - 2016.3   Full year

  • 情報学講究

    2015.4 - 2016.3   Full year

  • 電気情報工学入門 I

    2015.4 - 2015.9   First semester

  • 情報構造論

    2015.4 - 2015.9   First semester

  • 離散数学

    2015.4 - 2015.9   First semester

  • 統計的自然言語処理

    2014.10 - 2015.3   Second semester

  • 自然言語解析

    2014.10 - 2015.3   Second semester

  • 数理統計

    2014.10 - 2015.3   Second semester

  • ライブラリーサイエンスPTL I

    2014.10 - 2015.3   Second semester

  • 情報学演習

    2014.4 - 2015.3   Full year

  • 情報学講究

    2014.4 - 2015.3   Full year

  • 電気情報工学入門 I

    2014.4 - 2014.9   First semester

  • 情報構造論

    2014.4 - 2014.9   First semester

  • 離散数学

    2014.4 - 2014.9   First semester

  • 統計的自然言語処理

    2013.10 - 2014.3   Second semester

  • 情報科学の世界

    2013.10 - 2014.3   Second semester

  • 自然言語解析

    2013.10 - 2014.3   Second semester

  • 数理統計

    2013.10 - 2014.3   Second semester

  • ライブラリーサイエンスPTL I

    2013.10 - 2014.3   Second semester

  • 情報学演習

    2013.4 - 2014.3   Full year

  • 情報学講究

    2013.4 - 2014.3   Full year

  • コアセミナー(電気情報工学入門)

    2013.4 - 2013.9   First semester

  • 離散数学

    2013.4 - 2013.9   First semester

  • 統計的自然言語処理

    2012.10 - 2013.3   Second semester

  • 自然言語解析

    2012.10 - 2013.3   Second semester

  • 数理統計

    2012.10 - 2013.3   Second semester

  • ライブラリーサイエンスPTL I

    2012.10 - 2013.3   Second semester

  • 情報学演習

    2012.4 - 2013.3   Full year

  • 情報学講究

    2012.4 - 2013.3   Full year

  • コアセミナー(電気情報工学入門)

    2012.4 - 2012.9   First semester

  • 離散数学

    2012.4 - 2012.9   First semester

  • 自然言語解析

    2011.10 - 2012.3   Second semester

  • 統計的自然言語処理

    2011.10 - 2012.3   Second semester

  • 情報学演示

    2011.10 - 2012.3   Second semester

  • ライブラリーサイエンスPTL I

    2011.10 - 2012.3   Second semester

  • 数理統計

    2011.10 - 2012.3   Second semester

  • 情報学読解

    2011.4 - 2011.9   First semester

  • コアセミナー(電気情報工学入門)

    2011.4 - 2011.9   First semester

  • 離散数学

    2011.4 - 2011.9   First semester

  • 統計的自然言語処理

    2010.10 - 2011.3   Second semester

  • 情報学論議Ⅱ

    2010.10 - 2011.3   Second semester

  • 情報学論述Ⅱ

    2010.10 - 2011.3   Second semester

  • 論理設計演習

    2010.4 - 2010.9   First semester

  • コアセミナー(電気情報工学入門)

    2010.4 - 2010.9   First semester

  • 情報学論議Ⅰ

    2010.4 - 2010.9   First semester

  • 情報学論述Ⅰ

    2010.4 - 2010.9   First semester

  • 離散数学

    2010.4 - 2010.9   First semester

  • 統計的自然言語処理

    2009.10 - 2010.3   Second semester

  • 国際演示技法

    2009.10 - 2010.3   Second semester

  • 情報学演示

    2009.10 - 2010.3   Second semester

  • 情報学特別講究第一

    2009.4 - 2010.3   Full year

  • 情報論理学特別講究

    2009.4 - 2010.3   Full year

  • 情報学特別演習

    2009.4 - 2010.3   Full year

  • 情報学特別講究第二

    2009.4 - 2010.3   Full year

  • 論理設計演習

    2009.4 - 2009.9   First semester

  • 情報学読解

    2009.4 - 2009.9   First semester

  • 離散数学

    2009.4 - 2009.9   First semester

  • 知能システム学演習第三

    2008.10 - 2009.3   Second semester

  • 計算言語学

    2008.10 - 2009.3   Second semester

  • 知能システム学演習第一

    2008.10 - 2009.3   Second semester

  • 知能システム学演習第二

    2008.4 - 2008.9   First semester

  • 論理設計演習

    2008.4 - 2008.9   First semester

  • 離散数学

    2008.4 - 2008.9   First semester

  • 計算言語学

    2007.10 - 2008.3   Second semester

  • 電気情報工学実験II

    2007.10 - 2008.3   Second semester

  • 確率統計

    2007.4 - 2007.9   First semester

  • 離散数学

    2007.4 - 2007.9   First semester

  • 計算言語学

    2006.10 - 2007.3   Second semester

  • 情報科学II

    2006.4 - 2006.9   First semester

  • 電気情報工学実験I

    2006.4 - 2006.9   First semester

  • 確率統計

    2006.4 - 2006.9   First semester

  • 電気情報工学実験II

    2005.10 - 2006.3   Second semester

  • 計算言語学

    2005.10 - 2006.3   Second semester

  • 高度プログラミング演習

    2005.10 - 2006.3   Second semester

  • 確率統計

    2005.4 - 2005.9   First semester

  • 電気情報工学実験II

    2004.10 - 2005.3   Second semester

  • 確率統計

    2004.4 - 2004.9   First semester

  • 計算言語学

    2004.4 - 2004.9   First semester

  • 情報認識論

    2003.10 - 2004.3   Second semester

  • 電気情報工学実験

    2003.10 - 2004.3   Second semester

  • 情報認識論

    2003.4 - 2003.9   First semester

  • 情報認識論

    2002.10 - 2003.3   Second semester

  • 電気情報工学実験

    2002.10 - 2003.3   Second semester

  • 計算言語学

    2002.4 - 2002.9   First semester

  • 電気情報工学セミナーB

    2024.12 - 2025.2   Winter quarter

  • 数理統計

    2024.10 - 2025.3   Second semester

  • 情報理工学論述Ⅱ

    2024.10 - 2025.3   Second semester

  • 情報理工学論議Ⅱ

    2024.10 - 2025.3   Second semester

  • 情報理工学演示

    2024.10 - 2025.3   Second semester

  • ライブラリーサイエンスPTLⅠ

    2024.10 - 2025.3   Second semester

  • 電気情報工学セミナーA

    2024.10 - 2024.12   Fall quarter

  • 離散数学Ⅱ(CM)

    2024.6 - 2024.8   Summer quarter

  • 自然言語処理Ⅱ

    2024.6 - 2024.8   Summer quarter

  • Natural Language Processing II

    2024.6 - 2024.8   Summer quarter

  • 自然言語処理特別講究

    2024.4 - 2025.3   Full year

  • 知的財産技法Ⅱ

    2024.4 - 2025.3   Full year

  • 知的財産技法Ⅰ

    2024.4 - 2025.3   Full year

  • 知的財産技法

    2024.4 - 2025.3   Full year

  • 特別研究Ⅱ

    2024.4 - 2025.3   Full year

  • 特別研究Ⅰ

    2024.4 - 2025.3   Full year

  • 情報論理学特別講究

    2024.4 - 2025.3   Full year

  • 情報理工学特別研究Ⅱ

    2024.4 - 2025.3   Full year

  • 情報理工学特別研究Ⅰ

    2024.4 - 2025.3   Full year

  • 情報理工学特別演習

    2024.4 - 2025.3   Full year

  • 情報学特別講究第二

    2024.4 - 2025.3   Full year

  • 情報学特別講究第一

    2024.4 - 2025.3   Full year

  • 情報学特別演習

    2024.4 - 2025.3   Full year

  • 国際演示技法Ⅱ

    2024.4 - 2025.3   Full year

  • 国際演示技法Ⅰ

    2024.4 - 2025.3   Full year

  • 国際演示技法

    2024.4 - 2025.3   Full year

  • 先端プロジェクト管理技法Ⅱ

    2024.4 - 2025.3   Full year

  • 先端プロジェクト管理技法Ⅰ

    2024.4 - 2025.3   Full year

  • 先端プロジェクト管理技法

    2024.4 - 2025.3   Full year

  • ライブラリーサイエンス特別研究

    2024.4 - 2025.3   Full year

  • ライブラリーサイエンス特別研究

    2024.4 - 2025.3   Full year

  • ライブラリーサイエンス特別演習

    2024.4 - 2025.3   Full year

  • ライブラリーサイエンス特別演習

    2024.4 - 2025.3   Full year

  • ティーチング演習Ⅱ

    2024.4 - 2025.3   Full year

  • ティーチング演習Ⅰ

    2024.4 - 2025.3   Full year

  • ティーチング演習

    2024.4 - 2025.3   Full year

  • 【通年】情報理工学講究

    2024.4 - 2025.3   Full year

  • 【通年】情報理工学研究Ⅰ

    2024.4 - 2025.3   Full year

  • 【通年】情報理工学演習

    2024.4 - 2025.3   Full year

  • Survey and Study in IST

    2024.4 - 2025.3   Full year

  • Scientific English Presentation II

    2024.4 - 2025.3   Full year

  • Scientific English Presentation I

    2024.4 - 2025.3   Full year

  • Scientific English Presentation

    2024.4 - 2025.3   Full year

  • Intellectual Property Management II

    2024.4 - 2025.3   Full year

  • Intellectual Property Management I

    2024.4 - 2025.3   Full year

  • Intellectual Property Management

    2024.4 - 2025.3   Full year

  • Exercise in Teaching II

    2024.4 - 2025.3   Full year

  • Exercise in Teaching I

    2024.4 - 2025.3   Full year

  • Exercise in Teaching

    2024.4 - 2025.3   Full year

  • Advanced Seminar in Information Science and Technology

    2024.4 - 2025.3   Full year

  • Advanced Seminar in Informatics

    2024.4 - 2025.3   Full year

  • Advanced Research in Natural Language Processing

    2024.4 - 2025.3   Full year

  • Advanced Research in Information Semantics

    2024.4 - 2025.3   Full year

  • Advanced Research in Information Science and Technology II

    2024.4 - 2025.3   Full year

  • Advanced Research in Information Science and Technology I

    2024.4 - 2025.3   Full year

  • Advanced Research in Informatics II

    2024.4 - 2025.3   Full year

  • Advanced Research in Informatics I

    2024.4 - 2025.3   Full year

  • Advanced Project Management Technique

    2024.4 - 2025.3   Full year

  • Advanced Project Management II

    2024.4 - 2025.3   Full year

  • Advanced Project Management I

    2024.4 - 2025.3   Full year

  • 電気情報工学入門Ⅱ

    2024.4 - 2024.9   First semester

  • 離散数学(C)【前期】

    2024.4 - 2024.9   First semester

  • 情報理工学論述Ⅰ

    2024.4 - 2024.9   First semester

  • 情報理工学論議Ⅰ

    2024.4 - 2024.9   First semester

  • 情報理工学読解

    2024.4 - 2024.9   First semester

  • 工学概論(Ⅰ群)

    2024.4 - 2024.9   First semester

  • ライブラリーサイエンス講究

    2024.4 - 2024.9   First semester

  • ライブラリーサイエンス講究

    2024.4 - 2024.9   First semester

  • 【修士】統計的自然言語処理

    2024.4 - 2024.9   First semester

  • Technical Writing in Information Science and Technology II

    2024.4 - 2024.9   First semester

  • Discourses in Information Science and Technology II

    2024.4 - 2024.9   First semester

  • 離散数学Ⅰ(CM)

    2024.4 - 2024.6   Spring quarter

  • 自然言語処理Ⅰ

    2024.4 - 2024.6   Spring quarter

  • Natural Language Processing I

    2024.4 - 2024.6   Spring quarter

▼display all

FD Participation

  • 2023.12   Role:Speech   Title:研究データ管理・公開に係る部局説明会(農学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.12   Role:Speech   Title:研究データ管理・公開に係る部局説明会(比較社会文化研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.12   Role:Speech   Title:研究データ管理・公開に係る部局説明会(総合理工学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.11   Role:Speech   Title:研究データ管理・公開に係る部局説明会(応用力学研究所)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.11   Role:Speech   Title:研究データ管理・公開に係る部局説明会(工学研究院・システム情報科学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.11   Role:Speech   Title:研究データ管理・公開に係る部局説明会(経済学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.11   Role:Speech   Title:研究データ管理・公開に係る部局説明会(基幹教育院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.10   Role:Speech   Title:研究データ管理・公開に係る部局説明会(人間環境学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.10   Role:Speech   Title:研究データ管理・公開に係る部局説明会(人文科学研究院)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.10   Role:Speech   Title:研究データ管理・公開に係る部局説明会(キャンパスライフ・健康支援センター)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.10   Role:Speech   Title:研究データ管理・公開に係る部局説明会(情報基盤研究開発センター)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.9   Role:Participation   Title:【シス情FD】Top10%論文/Top10%ジャーナルとは何か: 傾向と対策

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.5   Role:Participation   Title:【シス情FD】農学研究院で進めているDX教育について

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2023.3   Role:Participation   Title:【シス情FD】独・蘭・台湾での産学連携を垣間見る-Industy 4.0・量子コンピューティング・先端半導体-

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.11   Role:Participation   Title:【工学・シス情】教職員向け知的財産セミナー(FD)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.6   Role:Participation   Title:【シス情FD】電子ジャーナル等の今後について

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2022.4   Role:Participation   Title:【シス情FD】第4期中期目標・中期計画等について

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.12   Role:Participation   Title:【シス情FD】企業出身教員から見た大学

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.10   Role:Participation   Title:【シス情FD】熊本高専と九大システム情報との交流・連携に向けて ー 3年半で感じた高専の実像 ー

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.5   Role:Speech   Title:先導的人材育成フェローシップ事業(情報・AI分野)について

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2021.3   Role:Participation   Title:FD講演会「九州大学オンライン授業のグッドプラクティス 〜 リアルタイム型授業編〜」

    Organizer:University-wide

  • 2020.12   Role:Participation   Title:UQ-KU Education Forum 2020 (Day 1) −Teaching effectively in the time of COVID-19−

    Organizer:University-wide

  • 2020.10   Role:Participation   Title:2020年度 ユニバーシティ・デザイン・ワークショップの報告

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.9   Role:Participation   Title:電気情報工学科総合型選抜(AO入試)について

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.9   Role:Participation   Title:M2B学習支援システム講習会(オンライン開催)◇初級編・中級編◇

    Organizer:University-wide

  • 2020.7   Role:Participation   Title:アフターコロナの大学はどうあるべきか

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.6   Role:Participation   Title:どんな3ポリシーが、どのように役立つのか ー 九州大学カリキュラム・マップの威力 -

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.5   Role:Participation   Title:オンサイト授業 vs. オンライン授業:分かったこと,変わったこと

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.4   Role:Participation   Title:新型コロナウイルスが誘起した社会変化に対する システム情報科学からの提言

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2020.2   Role:Participation   Title:九州大学工学系改組の現状と今後の予定

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2019.9   Role:Participation   Title:システム情報科学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2019.7   Role:Participation   Title:3ポリシーに関する全学FD ~日本学術会議分野別参照基準に基づく理学部物理学科の3ポリシー~

    Organizer:University-wide

  • 2019.6   Role:Participation   Title:システム情報科学府FD「8大学情報系研究科長会議の報告」

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2019.2   Role:Participation   Title:システム情報科学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2018.7   Role:Participation   Title:システム情報科学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2018.3   Role:Participation   Title:著作権セミナー

    Organizer:University-wide

  • 2017.12   Role:Participation   Title:第5回全学FD「大学生の学習時間はなぜ短いのか」

    Organizer:University-wide

  • 2017.3   Role:Participation   Title:M2B 学習支援システム講習会

    Organizer:University-wide

  • 2017.1   Role:Participation   Title:統合新領域学府FD(障害を持った学生に対する対応について)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2016.8   Role:Participation   Title:システム情報科学府第2回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2016.7   Role:Participation   Title:システム情報科学府・研究院 FD (M2B(みつば)システムを使ってみませんか?)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2015.12   Role:Participation   Title:統合新領域学府FD(近年の大学生像と学生対応の留意点について)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2015.11   Role:Participation   Title:システム情報科学府・研究院 FD(システム情報科学研究院の学術論文分析 ーI&E分野でのランキング向上を目指してー)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2015.8   Role:Participation   Title:基幹教育院・教材開発センターFD 「M2B学習支援システム講習会」

    Organizer:University-wide

  • 2015.7   Role:Participation   Title:システム情報科学府・研究院 FD(大学のグローバル化に伴う英語での講義について)

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2014.10   Role:Participation   Title:システム情報科学府FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2014.7   Role:Participation   Title:新GPA制度実施のためのFD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2013.12   Role:Participation   Title:システム情報科学府平成25年度第5回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2013.11   Role:Participation   Title:システム情報科学府平成25年度第4回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2013.10   Role:Participation   Title:統合新領域学府ライブラリーサイエンス専攻 平成25年度第1回ラウンドテーブル

    Organizer:Undergraduate school department

  • 2013.8   Role:Participation   Title:システム情報科学府平成25年度第2回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2013.4   Role:Participation   Title:システム情報科学府平成25年度第1回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2012.11   Role:Participation   Title:システム情報科学府平成24年度第1回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2012.10   Role:Moderator   Title:統合新領域学府ライブラリーサイエンス専攻 平成24年度第1回ラウンドテーブル

    Organizer:Undergraduate school department

  • 2012.3   Role:Moderator   Title:統合新領域学府ライブラリーサイエンス専攻 平成23年度第2回ラウンドテーブル

    Organizer:Undergraduate school department

  • 2012.3   Role:Participation   Title:システム情報科学府平成23年度第3回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2011.12   Role:Participation   Title:システム情報科学府平成23年度第2回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2011.11   Role:Participation   Title:システム情報科学府平成23年度第1回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2011.9   Role:Moderator   Title:統合新領域学府ライブラリーサイエンス専攻 平成23年度第1回ラウンドテーブル

    Organizer:Undergraduate school department

  • 2010.11   Role:Participation   Title:システム情報科学府平成22年度第1回FD

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2009.7   Role:Participation   Title:九州大学大学院システム情報科学研究院平成21年度第1回ファカルティディベロプメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2009.3   Role:Participation   Title:九州大学大学院システム情報科学府ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2008.3   Role:Participation   Title:九州大学大学院システム情報科学府第7回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2007.2   Role:Participation   Title:九州大学大学院システム情報科学府第6回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2006.2   Role:Participation   Title:九州大学大学院システム情報科学府第5回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2005.2   Role:Participation   Title:九州大学大学院システム情報科学府第4回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2004.2   Role:Participation   Title:九州大学大学院システム情報科学府第3回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2003.2   Role:Participation   Title:九州大学大学院システム情報科学府第2回ファカルティ・ディベロップメント

    Organizer:[Undergraduate school/graduate school/graduate faculty]

  • 2002.7   Role:Participation   Title:第1回全学FD(全学教育基礎科学科目の授業改善について)

    Organizer:University-wide

▼display all

Visiting, concurrent, or part-time lecturers at other universities, institutions, etc.

  • 2015  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2015  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2014  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2014  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4時限

  • 2013  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2013  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2012  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2012  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2011  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2011  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2010  岡山大学・工学部  Classification:Intensive course  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:10月6,7,13,14日

  • 2010  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2010  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2009  岡山大学・工学部  Classification:Intensive course  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:10月14,15,28,29日

  • 2009  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2009  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2008  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日1時限

  • 2008  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2007  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日5時限

  • 2007  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2006  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 水曜日5時限

  • 2006  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2005  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 金曜日4,5時限

  • 2005  九州産業大学・情報科学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 月曜日5時限

  • 2004  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 月曜日5時限

  • 2004  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 水曜日4,5時限

  • 2003  九州芸術工科大学  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:集中講義(後期)

  • 2003  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 月曜日4,5時限

  • 2003  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 水曜日4,5時限

  • 2002  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:後期 月曜日4,5時限

  • 2002  九州芸術工科大学  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:集中講義(後期)

  • 2002  九州産業大学・工学部  Classification:Part-time lecturer  Domestic/International Classification:Japan 

    Semester, Day Time or Duration:前期 月曜日4,5時限

▼display all

Other educational activity and Special note

  • 2023  Class Teacher  学部

  • 2008  Class Teacher  学部