Updated on 2026/04/12

写真a

 
FUKUMOTO FUMIYO
 
Organization
Undergraduate School School of Interdisciplinary Mathematical Sciences Professor (non-tenured)
Title
Professor (non-tenured)
Contact information
メールアドレス
External link

Degree

  • 博士(理学) ( 東京大学 )

  • A Study on Corpus-based Techniques for Syntactic and Semantic Ambiguity Resolution and Their Application ( 東京大学 )

  • 工学修士 ( マンチェスタ-工科大学 )

  • Automatic Recognition of Verbal Polysemy ( マンチェスタ-工科大学 )

Research Interests

  • Corpus

  • Natural Language Processing

  • Lexical Semantics

  • Knowledge Acquisition

  • Ambiguity Resolution

Research Areas

  • Informatics / Intelligent informatics

Committee Memberships

  • 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)   Programme Committee  

    2021.7   

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  • 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)   Programme Committee  

    2020.7   

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  • 1st Joint Workshop on Narrative Understanding, Storylines, and Events, ACL   Programme Committee  

    2020.4 - 2020.5   

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  • The 32nd International Conference on Software Engineering and Knowledge Engineering   Programme Committee  

    2020.4   

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  • Annual Meeting of the Association for Computational Linguistics (ACL)   Programme Committee  

    2020.1 - 2020.2   

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  • 言語処理学会年次大会   論文査読委員  

    2020.1 - 2020.2   

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  • 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP)   Programme Committee  

    2019   

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  • Annual Meeting of the Association for Computational Linguistics (ACL)   Programme Committee  

    2019   

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  • Annual Meeting of the Association for Computational Linguistics   Programme Commettie  

    2018.3   

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  • Annual Meeting of the Association for Computational Linguistics (ACL)   Programme Committee  

    2018.3   

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  • 言語処理学会   学会賞査読委員  

    2018.2   

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Papers

  • Topic-Driven Data Augmentation for Hierarchical Text Classification

    Zhiwen Hu, Fumiyo Fukumoto, Bin Hu, Yoshimi Suzuki, Dongjin Yu

    2026

  • Can Dynamic Prompt Help Sentiment Style Transfer?

    Sheng Xu, Fumiyo Fukumoto, Kentaro Go, Yoshimi Suzuki

    2025

  • Decoupling Style from Contents for Positive Text Reframing

    Sheng Xu, Yoshimi Suzuki, Jiyi Li, Fumiyo Fukumoto

    2024

  • Identifying Self-admitted Technical Debt with Context-Based Ladder Network

    Aiyue Gong, Fumiyo Fukumoto, Panitan Muangkammuen, Jiyi Li, Dongjin Yu

    2024

  • Style-independent radical sequence learning for zero-shot recognition of Small Seal script

    Wenhui Zhou, Jinyu Liu, Jiefeng Li, Jiyi Li, Lili Lin, Fumiyo Fukumoto, Guojun Dai

    Journal of the Franklin Institute   2023.11

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.jfranklin.2023.09.005

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  • Creating a Positive Reframing Dictionary Using Machine Learning

    Hiroyuki Fukasawa, Kentaro Go, Fumiyo Fukumoto, Jiyi Li, Yuichiro Kinoshita

    Communications in Computer and Information Science   411 - 417   2023.7

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    Publishing type:Part of collection (book)   Publisher:Springer Nature Switzerland  

    DOI: 10.1007/978-3-031-36004-6_56

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  • Analysis of the Effectiveness of Metaheuristic Methods on Bayesian Optimization in the Classification of Visual Field Defects

    Masyitah Abu, Nik Adilah Hanin Zahri, Amiza Amir, Muhammad Izham Ismail, Azhany Yaakub, Fumiyo Fukumoto, Yoshimi Suzuki

    Diagnostics   2023.6

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    Publishing type:Research paper (scientific journal)  

    DOI: 10.3390/diagnostics13111946

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  • STaTRL: Spatial-temporal and text representation learning for POI recommendation Reviewed

    Xinfeng Wang, Fumiyo Fukumoto, Jiyi Li, Dongjin Yu, Xiaoxiao Sun

    Applied Intelligence   2023.4

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

    DOI: 10.1007/s10489-022-03858-w

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  • An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification

    Zhiwei Zhang, Jiyi Li, Fumiyo Fukumoto

    2023

  • Acquisition of Domain-Specific Senses and Its Extrinsic Evaluation Through Text Categorization

    Attaporn Wangpoonsarp, Kazuya Shimura, Fumiyo Fukumoto

    2023

  • Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis

    Wenlong Xi, Xiaoxi Huang, Fumiyo Fukumoto, Yoshimi Suzuki

    2023

  • Exploiting Labeled and Unlabeled Data via Transformer Fine-tuning for Peer-Review Score Prediction Reviewed

    Panitan Muangkammuen, Fumiyo Fukumoto, Jiyi Li, Yoshimi Suzuki

    Findings of the 2022 Conference on Empirical Methods in Natural Language Processing   2022.12

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Association for Computational Linguistics  

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  • Happy Text Entering: Promoting Subjective Well-Being Using an Input Method for Presenting Positive Words and Phrases

    Kentaro Go, Yuki Moriya, Yuichiro Kinoshita, Jiyi Li, Fumiyo Fukumoto

    33rd Australian Conference on Human-Computer Interaction   2021.11

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

    DOI: 10.1145/3520495.3520521

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  • Multi-task Learning for Automated Essay Scoring with Sentiment Analysis Reviewed

    Panitan Muangkammuen, Fumiyo Fukumoto

    Proc. of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, Student Research Workshop   2020.12

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  • A Neural Local Coherence Analysis Model for Clarity Text Scoring Reviewed

    P. Muangkammuen, S. Xu, F. Fukumoto, K. Runapongsa Saikaew, J. Li

    Proc. of the 28th International Conference on Computational Linguistics   2020.12

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  • HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification Reviewed

    W. Yang, J. Li, F. Fukumoto, Y. Ye

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing   2020.11

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  • MSCNN: A Monomeric-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification Reviewed

    W. Yang, J. Li, F. Fukumoto, Y. Ye

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing   2020.11

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  • Citation Count Prediction based on Neural Hawkes Model Reviewed

    Lisha Liu, Dongin Yu, Dongjiang Wang, Fumiyo Fukumoto

    IEICE TRANSACTIONS ON COMMUNICATIONS   E103 ( 11 )   2020.11

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  • Multi-task Peer-Review Score Prediction Reviewed

    J. Li, A. Sato, K. Shimura, F. Fukumoto

    Proc. of the 1st Workshop on Scholarly Document Processing   2020.11

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  • Sentiment Analysis using Semi-supervised Learning with Few Labeled Data Reviewed

    Yuhao Pan, Zhiqun Chen, Yoshimi Suzuki, Fumiyo Fukumoto, Hiromitsu Nishizaki

    International Conference on CYBERWORLDS   2020.10

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  • Unsupervised Predominant Sense Detection and Its Application to Text Classification Reviewed

    Attaporn Wangpoonsarp, Kazuya Shimura, Fumiyo Fukumoto

    Applied Sciences   10 ( 17 )   6052 - 6052   2020.9

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:{MDPI} {AG}  

    DOI: 10.3390/app10176052

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  • DeepMet: A Reading Comprehension Paradigm for Token-level Metaphor Detection Reviewed

    Chuandong Su, Fumiyo Fukumoto, Xiaoxi Huang, Jiyi Li, Rongbo Wang, Zhiqun Chen

    Proc of the Workshop on Figurative –Language Processing, the 58th Annual Meeting of the Association for Computational Linguistics   30 - 39   2020.7

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  • Paraphrase Identification with Lexical, Syntactic, and Semantic Encodings Reviewed

    Sheng Xu, Xingfa Shen, Fumiyo Fukumoto, Jiyi Li, Yoshimi Suzuki, Hiromitsu Nishizaki

    Applied Sciences-Basel   10 ( 12 )   4144 - 4144   2020.6

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:MDPI AG  

    Paraphrase identification has been one of the major topics in Natural Language Processing (NLP). However, how to interpret a diversity of contexts such as lexical and semantic information within a sentence as relevant features is still an open problem. This paper addresses the problem and presents an approach for leveraging contextual features with a neural-based learning model. Our Lexical, Syntactic, and Sentential Encodings (LSSE) learning model incorporates Relational Graph Convolutional Networks (R-GCNs) to make use of different features from local contexts, i.e., word encoding, position encoding, and full dependency structures. By utilizing the hidden states obtained by the R-GCNs as well as lexical and sentential encodings by Bidirectional Encoder Representations from Transformers (BERT), our model learns the contextual similarity between sentences effectively. The experimental results by using the two benchmark datasets, Microsoft Research Paraphrase Corpus (MRPC) and Quora Question Pairs (QQP) show that the improvement compared with the baseline, BERT sentential encodings model, was 1.7% F1-score on MRPC and 1.0% F1-score on QQP. Moreover, we verified that the combination of position encoding and syntactic features contributes to performance improvement.

    DOI: 10.3390/app10124144

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  • Semi-Automatic Construction and Refinement of an Annotated Corpus for a Deep Learning Framework for Emotion Classification Reviewed

    Jiajun Xu, Kyosuke Masuda, Hiromitsu Nishizaki, Fumiyo Fukumoto, Yoshimi Suzuki

    Proc of the Language Resources and Evaluation Conference   1611 - 1617   2020.4

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  • English and Chinese Neural Metonymy Recognition Based on Semantic Priority Interruption Theory Reviewed

    Chuandong Su, Xiaoxi Huang, Fumiyo Fukumoto, Jiyi Li, Rongbo Wang, Zhiqun Chen

    IEEE Access   8   30060 - 30068   2020.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Institute of Electrical and Electronics Engineers ({IEEE})  

    DOI: 10.1109/ACCESS.2020.2972379

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  • Title Categorization Based on Category Granularity Invited Reviewed

    Kazuya Shimura, Fumiyo Fukumoto

    Proc. of the 8th Language and Technology Conference   83 - 87   2020

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    DOI: 10.1007/978-3-030-66527-2_25

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  • Identification of Domain-Specific Senses Based on Word Embedding Learning Invited Reviewed

    Attaporn Wangpoonsarp, Fumiyo Fukumoto

    Proc. of the 8th Language and Technology Conference   179 - 183   2020

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    DOI: 10.1007/978-3-030-66527-2_26

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  • A Dataset of Crowdsourced Word Sequences; Collections and Answer Aggregation for Ground Truth Creation Reviewed

    Jiyi Li, Fumiyo Fukumoto

    Proceedings of the First Workshop on Aggregationg and Analysing Crowdsourced Annotations for NLP   24 - 28   2019.11

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  • Integrating Internet Directories by Estimating Category Correspondences Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    11th International Conference on Knowledge Engineering and Ontology Development, KEOD   427 - 434   2019.9

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  • Text Categorization by Learning Predominant Sense of Words as Auxiliary Task Reviewed

    Kazuya shimura, Jiyi Li, Fumiyo Fukumoto

    57th Annual Meeting of the Association for Computational Linguistics   1109 - 1119   2019.7

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  • Integrating Local and Global Data View for Bilingual Sense Correspondences Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Ataporn Wangpoonsarp, Meng Ji

    Knowledge Discovery, Knowledge Engineering and KnowledgeManagement   976   1 - 18   2019.3

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Nature Switzerland  

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  • HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization Reviewed

    Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto

    2018 Conference on Empirical Methods in Natural Language Processing   811 - 816   2018.10

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    Ggoogle 5h-index, 88, computational linguistics 分野上位2位

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  • Fine-tuningに基づくショートテキストの自動分類

    志村和也, 李吉屹, 福本文代

    情報処理学会, 第13回テキストアナリティクスシンポジウム   1 - 8   2018.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:情報処理学会  

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  • Extracting Editor's Opinions from Newspaper Editorial Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    The 8th Language and Technology Conference   352 - 356   2017.11

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  • Is (President, 大統領) a Correct Sense Pair? Linking and Creating Bilingual Sense Correspondences Reviewed

    F. Fukumoto, Y. Suzuki, A. Wangpoonsarp

    Proc. of the 9th International Conference on Knowledge Engineering and Ontology Development   39 - 48   2017.11

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  • Identification of Event and Topic for Multi-document Summarization Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Atsuhiro Takasu, Suguru Matsuyoshi

    HUMAN LANGUAGE TECHNOLOGY: CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS   9561   304 - 316   2016

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

    DOI: 10.1007/978-3-319-43808-5_23

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  • Exploiting guest preferences with aspect-based sentiment analysis for hotel recommendation Reviewed

    Fumiyo Fukumoto, Hiroki Sugiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    Communications in Computer and Information Science   631   31 - 46   2016

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

    DOI: 10.1007/978-3-319-52758-1_3

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  • Prediction of Company's Trend based on Publication Statistics and Sentiment Analysis Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Akihiro Nonaka, Karman Chan

    KDIR: PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL. 1   1   283 - 290   2016

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

    DOI: 10.5220/0006048602830290

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  • Classification of Word Sense Disambiguation Errors Using a Clustering Method Reviewed

    Hiroyuki Shinnou, Masaki Murata, Kiyoaki Shirai, Fumiyo Fukumoto, Sanae Fujita, Minoru Sasaki, Kanako Komiya, Takashi Inui

    Journal of Natural Language Processing   22 ( 5 )   319-362 - 362   2015.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Association for Natural Language Processing  

    As a first step of word sense disambiguation (WSD) errors analysis, generally we need investigate the causes of errors and classify them. For this purpose, seven analysts classified the error data for analysis from their unique standpoints. Next, we attempted to merge the results from the analyses. However, merging these results through discussions was difficult because the results differed significantly. Therefore, we used a clustering method for a certain level of automatic merger. Consequently, we classified WSD errors into nine types, and it turned out that the three main types of errors covers 90% of the total WSD errors. Moreover, we showed that the merged error types represented seven results and was standardized by defining the similarity between two classifications and comparing it with each analysis result.

    DOI: 10.5715/jnlp.22.319

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    Other Link: https://jlc.jst.go.jp/DN/JLC/20019457718?from=CiNii

  • Short Text Categorization by Smoothing Word distribution Reviewed

    F. Fukumoto, Y. Suzuki

    Proc. of the 7th Language and Technology conference   95 - 99   2015.11

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  • Identification of Topic and Event for Text Summarization Reviewed

    F. Fukumoto, Y. Suzuki

    Springer-Verla   24 - 35   2015.9

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    35%

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  • Learning Timeline Difference for Text Categorization Reviewed

    F. Fukumoto, Y. Suzuki

    Proc. of the Conference on Empirical Methods in Natural Language Processing   799 - 804   2015.9

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  • Application of Rhetorical Relations between Sentences to Cluster-based Text Summarization Reviewed

    N. A. H. Zahri, Fumiyo Fukumoto

    Proc. of the Fifth International Conference on Computer Science Engineering and Application   73 - 92   2015.1

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  • Opinion extraction from editorial articles based on context information

    Yoshimi Suzuki, Fumiyo Fukumoto

    IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management   2   375 - 380   2015

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

    DOI: 10.5220/0005633503750380

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  • Temporal-based Feature Selection and Transfer Learning for Text Categorization Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    2015 7TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (IC3K)   17 - 26   2015

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    Web of Science

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  • Smoothing Temporal Difference for Text Categorization Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    INFORMATION RETRIEVAL TECHNOLOGY, AIRS 2015   9460   203 - 214   2015

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    DOI: 10.1007/978-3-319-28940-3_16

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  • Exploiting Guest Preferences with Aspect-Based Sentiment Analysis for Hotel Recommendation Reviewed

    Fumiyo Fukumoto, Hiroki Sugiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, IC3K 2014   553   34 - 49   2015

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    DOI: 10.1007/978-3-319-25840-9_3

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  • The Effect of Temporal-based Term Selection for Text Classification Reviewed

    Fumiyo Fukumoto, Shougo Ushiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    Proc. of the Australasian Language Technology Association Workshop   98 - 105   2014.12

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  • The Effect of Temporal-based Term Selection for Text Classification Reviewed

    Fumiyo Fukumoto, Shougo Ushiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    Proceedings of the Australasian Language Technology Association Workshop 2014   88 - 96   2014.11

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  • Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation Reviewed

    Fumiyo Fukumoto, Hiroki Sugiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    Proceedings of the International Conference on Knowledge Discovery and Information Retrieval   22 - 30   2014.10

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  • Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation Reviewed

    Fumiyo Fukumoto, Hiroki Sugiyama, Yoshimi Suzuki, Suguru Matsuyoshi

    In Proc. of the International Conference on Knowledge Discovery and Information Retrieval   231 - 238   2014.10

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  • Detection of Topic and its Extrinsic Evaluation Through Multi-Document Summarization Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    In Proc. of the 52nd Annual Meeting of the Association for Computational Linguistics   241 - 246   2014.6

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    Language:English  

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  • 含意認識タスクに関するかき混ぜ文対データの構築

    名取 芙美香, 松吉 俊, 福本 文代

    言語処理学会第20回年次大会   745 - 748   2014.3

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    Language:Japanese  

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  • Enhancing Labeled Data Using Unlabeled Data for Topic Tracking Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Takeshi Yamamoto

    HUMAN LANGUAGE TECHNOLOGY CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS   8387   201 - 212   2014

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

    DOI: 10.1007/978-3-319-08958-4_17

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  • Annotating the Focus of Negation in Japanese Text Reviewed

    Suguru Matsuyoshi, Ryo Otsuki, Fumiyo Fukumoto

    LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION   1743 - 1750   2014

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    Web of Science

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  • Newspaper Article Classification using Topic Sentence Detection and Integration of Classifiers Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    In Proc. of the 6th Language and Technology Conference   284 - 289   2013.11

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  • Multi-Document Summarization based on Event and Topic Detection Reviewed

    Fumiyo. Fukumoto, Yoshimi. Suzuki, Atsuhiro. Takasu, S. Matsuyoshi

    In Proc. of the 6th Language and Technology Conference   424 - 428   2013.11

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  • Identifying Event and Subject of Continuous News Streams for Multi-Document Summarization Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    New Advances in Human Language Technologies, Z.Vetulani and H.Uszkoreit(eds.), Springer   2013.10

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  • Web掲示版における皮肉の分類および自動検出

    磯野 史弥, 松吉 俊, 福本 文代

    情報処理学会 第213回自然言語処理研究会   2013-213 ( 7 )   1 - 8   2013.9

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    Language:Japanese  

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  • Text Classification from Positive and Unlabeled Data using Misclassified Data Correction Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Suguru Matsuyoshi

    In Proc of the 51st Annual Meeting of the Association for the Computational Linguistics   474 - 478   2013.8

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    Acceptance rate 24%

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  • Link Analysis Based on Rhetorical Relations for Multi-Document Summarization Reviewed

    Nik Adilah Hanin Binti Zahri, Fumiyo Fukumoto, Suguru Matsuyoshi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E96D ( 5 )   1182 - 1191   2013.5

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

    DOI: 10.1587/transinf.E96.D.1182

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  • 1.時系列データを対象とした複数文書要約のための主題と話題及び背景の抽出

    小池 惇爾, 福本 文代, 高須 淳宏, 松吉 俊

    電子情報通信学会総合大会 ISS特別企画「学生ポスターセッション」予稿集   ISS-SP-348   2013.3

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  • 否定の焦点コーパスの構築と自動検出器の試作

    大槻 諒, 松吉 俊, 福本 文代

    言語処理学会第19回年次大会   936 - 939   2013.3

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  • Graph-Based Semi-supervised Clustering for Semantic Classification of Unknown Words Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Communications in Computer and Information Science   348   247 - 262   2013

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

    DOI: 10.1007/978-3-642-37186-8_16

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  • Timeline adaptation for text classification Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Atsuhiro Takasu

    International Conference on Information and Knowledge Management, Proceedings   1517 - 1520   2013

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

    DOI: 10.1145/2505515.2507833

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  • Exploiting Discourse Relations between Sentences for Text Clustering Reviewed

    Nik Adilah Hanin Binti Zahri, Fumiyo Fukumoto, Suguru Matsuyoshi

    Proc. of the Workshop on Advances in Discourse Analysis and its Computational Aspects   17 - 32   2012.12

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    50

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  • Collaborative Filtering based on Sentiment Analysis of Guest Reviews for Hotel Recommendation Reviewed

    F. Fukumoto, C. Motegi, S. Matsuyoshi

    Proc. of the 4th International Conference on Knowledge Engineering and Inforamtion Retrieval   193 - 198   2012.10

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  • Topic and Subject Detection in News Streams for Multi-Document Summarization Reviewed

    F. Fukumoto, Y. Suzuki, A. Takasu

    Proc. of the 4th International Conference on Knowledge Engineering and Ontology Development   166 - 170   2012.10

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  • 少数の正例とラベルなし事例による文書の自動分類 Reviewed

    山本剛志, 福本文代, 松吉俊

    電子情報通信学会論文誌   2012.5

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  • 評価視点別レビュー要約のための重要文候補抽出

    小池 惇爾, 松吉 俊, 福本 文代

    言語処理学会第18回年次大会   1188 - 1191   2012.3

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  • Segmentation of review texts by using thesaurus and corpus-based word similarity

    Yoshimi Suzuki, Fumiyo Fukumoto

    KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development   381 - 384   2012

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  • Text classification with relatively small positive documents and unlabeled data Reviewed

    Fumiyo Fukumoto, Takeshi Yamamoto, Suguru Matsuyoshi, Yoshimi Suzuki

    ACM International Conference Proceeding Series   2315 - 2318   2012

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    DOI: 10.1145/2396761.2398629

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  • Identifying Event and Subject of Continuous News Streams for Multi-Document Summarization Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    In Proc. of the 5th Language and Technology Conference   197 - 201   2011.11

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  • Enhancing Labeled Data using Unlabeled Data for Topic Tracking Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    In Proc. of the 5th Language and Technology Conference   345 - 349   2011.11

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  • Patent Document Classification using Expanded Technical Term Thesaurus Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    In Proc. the 5th Language and Technology Conference   58 - 62   2011.11

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  • Cluster Labelling based on Concepts in a Machine-Readable Dictionary Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    In Proc. of the 5th International Joint Conference on Natural Language Processing   1371 - 1375   2011.11

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  • Identification of Domain-Specific Senses in a Machine-Readable Dictionary Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    In Proc. of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies   552 - 557   2011.6

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  • SEMANTIC CLASSIFICATION OF UNKNOWN WORDS BASED ON GRAPH-BASED SEMI-SUPERVISED CLUSTERING Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    KEOD 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT   37 - 46   2011

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  • Polysemous verb classification using subcategorization acquisition and graph-based clustering Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Kazuyuki Yamashita

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   6562   115 - 126   2011

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    DOI: 10.1007/978-3-642-20095-3_11

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  • Multi-document Summarization Using Link Analysis Based on Rhetorical Relations between Sentences Reviewed

    Nik Adilah Hanin Binti Zahri, Fumiyo Fukumoto

    COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, PT II   6609   328 - 338   2011

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  • MULTI-LABELED PATENT DOCUMENT CLASSIFICATION USING TECHNICAL TERM THESAURUS Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    KEOD 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT   425 - 428   2011

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  • Effect of Overt Pronoun Resolution in Topic Tracking Reviewed

    F. Fukumoto, Y. Suzuki

    Lecture Notes in Computer Science   24 - 32   2010.11

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  • Eliminating Redundancy by Spectral Clustering for Multi-Docuemnt Summarization Reviewed

    F. Fukumoto, A. Sakai, Y. Suzuki

    Proc. of the 5th TextGraph Workshop on Graph-based Algorithms in Natural Language Processing   2010.7

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  • リンク解析に基づく複数文書の自動要約

    酒井明菜, 福本文代

    第16回言語処理学会年次大会   2010.3

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  • Eliminating redundancy by spectral relaxation for multi-document summarization

    Fumiyo Fukumoto, Akina Sakai, Yoshimi Suzuki

    ACL 2010 - TextGraphs 2010: 2010 Workshop on Graph-Based Methods for Natural Language Processing, Proceedings of the Workshop   98 - 102   2010

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  • Integrating technical terms into thesaurus using extracted related words

    Yoshimi Suzuki, Fumiyo Fukumoto

    Proceedings of the International Symposium on Matching and Meaning Automated Development, Evolution and Interpretation of Ontologies - A Symposium at the AISB 2010 Convention   34 - 38   2010

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  • IDENTIFYING DOMAIN-SPECIFIC SENSES AND ITS APPLICATION TO TEXT CLASSIFICATION Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    KEOD 2010: Proceedings of the International Conference on Knowledge Engineering and Ontology Development   263 - 268   2010

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  • Classifying Polysemies using a Graph-based Clustering Reviewed

    F. Fukumoto, K. Yamashita, Y. Suzuki

    The 4th Language and Technology Conference   210 - 214   2009.11

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  • Effect of Overt Pronoun Resolution in Topic Tracking Reviewed

    F. Fukumoto, Y. Suzuki

    The 4th Language and Technology Conference   350 - 354   2009.11

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  • Example-assignment to WordNet Thesaurus based on Distributional Similarity of Words and its Application to Word Sense Disambiguation Reviewed

    N. A. H. B. Zahri, F. Fukumoto

    Proc. of 11th Conference of the Pacific Association for Computational Linguistics   188 - 193   2009.9

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  • Classifying Japanese Polysemous Verbs based on Fuzzy C-means Clustering Reviewed

    Y. Suzuki, F. Fukumoto

    Proc. of the 4th TextGraphs Workshop on Graph-based Algorithms in Natural Language Processing   32 - 40   2009.8

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  • Example-assignment to WordNet Thesaurus based on Distributional Simi- larity of Words Reviewed

    Fumiyo Fukumoto, Nik Adilah Hanin Binti Zahri

    Proc. of Workshop on Matching and Meaning   3 - 7   2009.4

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  • Webから取得した共起頻度と音象徴によるオノマトペの自動分類 Reviewed

    市岡健一, 福本文代

    電子情報通信学会論文誌   J92-D ( 3 )   428 - 438   2009.3

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  • Detecting unknown word senses using concept dictionary

    Yoshimi Suzuki, Fumiyo Fukumoto

    Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009   50 - 52   2009

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  • Using Graph-Based Indexing to Identify Subject-Shift in Topic Tracking Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    HUMAN LANGUAGE TECHNOLOGY: CHALLENGES OF THE INFORMATION SOCIETY   5603   392 - 404   2009

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  • The Effect of Combining Similarity Measures for Onomatopieia Clustering Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc. of Empirical Method in Asian Natural Language Processing (EMALP'08)   37 - 51   2008.12

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  • Integrating Cross-Language Hierarchies and its Application to Retrieving Relevant Documents Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    ACM Transactions on Asian Language Information Processing   7 ( 3 )   1 - 22   2008.8

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  • Retrieving Bilingual Verb-Noun Collocations by Integrating Cross-Language Category Hierarchies Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki, Kazuyuki Yamashita

    Proc. of the 22nd Interna- tional Conference on Computational Linguistics (COLING'08)   233 - 240   2008.8

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  • Graph-based Clustering for Semantic Classification of Onomatopoetic Words Reviewed

    Fumiyo Fukumoto, Kenichi Ichioka

    Proc. of the 3rd Textgraphs Workshop on Graph-based Algorithms in Natural Language Processing (TEXT-GRAPH'3)   33 - 40   2008.8

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  • 単語の類似尺度に基づくシソーラス辞書への用例付与

    Nik Adilah Hanin Binti Zahri, 福本 文代

    情報処理学会自然言語処理研究会   185   2008.5

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  • Topic tracking based on bilingual comparable corpora and semisupervised clustering Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    ACM Transactions on Asian Language Information Processing   6 ( 3 )   1 - 23   2007.11

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    DOI: 10.1145/1290002.1290005

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  • Detecting Subject-Shift based on Keygraph for Topic Tracking Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc. of the 3rd Language and Technology Conference   34 - 39   2007.10

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  • Combining Similarity-based Approaches for Semantic Tagging of Unknown Words Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc. of the 10th Conference of the Pacific Association for Computational Linguistics (PACLING'07)   200 - 205   2007.9

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  • Integrating Cross-Language Hierarchies by Text Classification Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc. of the International Conference on Recent Advances in Natural Language Processing (RANLP2007)   200 - 205   2007.9

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  • 階層構造におけるカテゴリの統合と類似文書抽出への適用

    佐野司, 市岡健一, 福本文代

    第179回自然言語処理研究会 情報処理学会   2007 ( 47 )   55 - 60   2007.5

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  • マルチラベルの分野名に対する事例間類似度に基づいた誤り修正 Reviewed

    濱野秀俊, 福本文代

    電子情報通信学会論文誌   2006.8

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  • Using Bilingual Comparable Corpora and Semi-supervised Clustering for Topic Tracking Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc. of the 21st International Conference on Computational Linguistics (COLING'06)   2006.7

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  • Sentence Extraction using Similar Words Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    Archives of Control Sciences   15 ( 4 )   665 - 672   2006.4

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  • Generating category hierarchy for classifying large corpora Reviewed

    F Fukumoto, Y Suzuki

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E89D ( 4 )   1543 - 1554   2006.4

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    DOI: 10.1093/ietisy/e89-d.4.1543

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  • 分野の階層構造を利用したコーパスの誤り修正と文書分類への適用 Reviewed

    福本文代, 鈴木良弥

    電子情報通信学会論文誌   J89-D ( 3 )   552 - 566   2006.3

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  • Thesaurus Expansion using Similar Word Pairs from Patent Documents Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto

    INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5   737 - 740   2006

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  • Using Category Hierarchies for Correcting Category Errors in Multi-labeled Data Reviewed

    Fumiyo Fukumoto, Yoshimi Suzuki

    Proc of the 2nd Lanugage and Technology Conference   211 - 215   2005.4

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  • 分野名タグの誤り検出と修正

    長倉和也, 福本文代

    第11回言語処理学会年次大会   2005.3

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  • 分野の階層構造を利用したコーパスの誤り修正

    濱野秀俊, 福本文代

    第11回言語処理学会年次大会   2005.3

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  • Topic tracking based on linguistic features Reviewed

    F Fukumoto, Y Yamaji

    NATURAL LANGUAGE PROCESSING - IJCNLP 2005, PROCEEDINGS   3651   10 - 21   2005

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  • Learning Subject Drift for Topic Tracking Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the 8th International Conference on Sopken Language Processing (ICSLP'04)   868 - 875   2004.10

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  • Using Category Hierarchies for Correcting Category Errors in a Corpus Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the Asia Information Retrieval Symposium (AIRS'04)   277 - 280   2004.10

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  • Correcting Category Errors in Text Classification Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the 20th International Conference on Computational Linguistics (COLING'04)   868 - 875   2004.8

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  • A Comparison of Manual and Automatic Constructions of Category Hierarchy for Classifying Large Corpora Reviewed

    F.fukumoto, Y.Suzuki

    Proc. of the 8th Conference on Computational Natural Language Learning (CONLL'04)   65 - 73   2004.5

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  • Clustering similar nouns for selecting related news articles

    Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguchi

    8th International Conference on Spoken Language Processing, ICSLP 2004   2205 - 2208   2004

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  • Complementing News Stories with Newswire Articles for Topic Tracking Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguchi

    Proc. of the Pacific Association for Computational Linguistics (PACLING'03)   265 - 274   2003.8

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  • 話題の推移に基づく続報記事の自動抽出 Reviewed

    福本文代, 鈴木良弥

    情報処理学会論文誌   44 ( 7 )   1766 - 1777   2003.7

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  • Topic Tracking using Subject Templates Reviewed

    Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguchi

    Proc. of the 7th International Conference on Spoken Language Processing (ICSLP'02)   868 - 875   2002.9

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  • Detecting Shifts in News Stories for Paragraph Extraction Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the 19th International Conference on Computational Linguistics (COLING'02)   280 - 286   2002.8

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  • WordNetの同義語クラスとその上位関係を利用した文書の自動分類 Reviewed

    福本文代, 鈴木良弥

    情報処理学会論文誌   43 ( 6 )   1852 - 1865   2002.6

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  • 語義の曖昧性解消のための最適な属性選択 Reviewed

    福本文代

    情報処理学会論文誌   43 ( 1 )   20 - 33   2002.1

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    This paper describes a method for feature selection which is used for disambiguating word senses. In our method, sets of features which correspond to each different sense of an ambiguous word are selected by applying a machine learning technique. Empirical results which were tested on the two data, one is 'line' and 'interest' data, and another is SENSEVALI data, show that the performance of the method is comparable to the existing sense disambiguation techniques.

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    Other Link: http://id.nii.ac.jp/1001/00011756/

  • マルチモーダルユーザインターフェースを備えた高次コミュニケーション空間の構築に関する研究開発通信放送機構委託研究(1997-2001)

    伊藤 洋, 今宮 淳美, 岩沼 宏治, 小方 孝, 小澤 賢司, 唐澤 博, 郷 健太郎, 茅 暁陽, 福本 文代, 服部 元信

    山梨大學工學部研究報告 = 山梨大學工學部研究報告   51 ( 1 )   39 - 46   2002

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    DOI: 10.34429/00001587

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  • Manipulating large corpora for text classification Reviewed

    F Fukumoto, Y Suzuki

    PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING   196 - 203   2002

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  • Learning Lexical Representation for Text Categorization Reviewed

    F.Fukumoto, Y.Suzuki

    North American Chapter of the Association for Computational Linguistics Workshop of WordNet and Other Lexical Resources (NAACL Workshop'01)   156 - 161   2001.6

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  • 語義の曖昧性解消のための最適な属性選択

    福本文代

    第141回自然言語処理研究会, 情報処理学会   2001.1

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  • Event Tracking based on Domain Dependency Reviewed

    F.Fukumoto, Y.Suzuki

    23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR'00)   57 - 64   2000.8

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  • Extracting Key Paragraph based on Topic and Event Detection - Towards Multi-Document Summarization Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of ACL Workshop on Text Summarization   31 - 39   2000.5

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  • Resolving Overt Pronoun using Hierarchial VP Structures Reviewed

    F.Fukumoto, H.Yamada, R.Mitkov

    Proc. of International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering   152 - 157   2000.3

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  • Selecting TV news stories an newswir articles relate to targe articl o newswir using SV

    Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguch

    6th International Conference on Spoken Language Processing, ICSLP 2000   2000

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  • 語の重み付け学習を用いた文書の自動分類 Reviewed

    福本文代, 鈴木良弥

    情報処理学会論文誌   40 ( 4 )   1782 - 1791   1999.4

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  • Word sense disambiguation in untagged text based on term weight learning Reviewed

    F Fukurnoto, Y Suzuki

    NINTH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS   209 - 216   1999

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  • 類推に基づく語の重み付け学習を用いた動詞の多義解消 Reviewed

    福本文代, 鈴木良弥

    情報処理学会論文誌   39 ( 12 )   3187 - 3199   1998.12

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    In this paper, we propose a method for disambiguating verbal word senses using term weight learning based on analogy. The characteristics of our approach are(1)our algorithm explicitly introduces new entities called hypothetical verbs when an entity is judged polysemous(2)keywords which characterise every sense and co-occur with polysemous verd are extracted using analogy of the relation of co-occurrence of two words. For the results, term weight learning is performed. Parameters of term weighting are then estimated so as to maximise the keywords and minimise the other words which co-occur with polysemous verb. The results of experiment demonstrate the effectiveness of the method.

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    Other Link: http://id.nii.ac.jp/1001/00012900/

  • Keyword Extraction using Term-Domain Interdependence for Dictation of Radio News Reviewed

    Y.Suzuki, F.Fukumoto

    Proc. of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International conference on Computational Linguistics (ACL-COLING'98)   1272 - 1276   1998.8

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  • Estimating Collocation from Sparse Data for Word Sense Disambiguation Reviewed

    F.Fukumoto, Y.Suzuki

    Pacific Association for Computational Linguistics (PACLING'98)   168 - 180   1998.8

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  • An Empirical Approach to Text Categorization based on Term Weight Learning Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the 3rd Empirical Method in Natural Language Processing (EMNLP'98)   71 - 79   1998.6

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  • Keyword extraction of radio news using term weighting with an encyclopedia and newspaper articles

    Yoshimi Suzuki, Fumiyo Fukumoto, Yoshihiro Sekiguchi

    SIGIR Forum (ACM Special Interest Group on Information Retrieval)   373 - 374   1998

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    DOI: 10.1145/290941.291062

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  • Term Weight Learning for an Automatic Text Categorization Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of International Conference on Recent Advances in Natural Language Processing (RANLP'97)   27 - 32   1997.9

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  • Reference Analysis of Deictic Expression to Visual Objects Reviewed

    H.Yamada, F.Fukumoto, A.Imamiya

    Proc. of International Conference on Recent Advances in Natural Language Processing (RANLP'97)   8794   1997.9

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  • 3語の同時出現頻度を利用した前置詞句の係り先の曖昧性解消 Reviewed

    福本文代, 鈴木良弥, 福本淳一

    情報処理学会論文誌   38 ( 2 )   226 - 234   1997.4

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  • An Automatic Extraction of Key Paragraphs based on Context Dependency Reviewed

    F.Fukumoto, Y.Suzuki

    Proc. of the 5th Conference on Applied Natural Language Processing   4 ( 2 )   291 - 298   1997.4

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  • Domain identification and keyword extraction of radio news using term weighting Reviewed

    Y Suzuki, F Fukumoto, Y Sekiguchi

    1997 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, PROCEEDINGS   543 - 550   1997

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  • Generating Category Hierarchy for Classifying Large Corpora

    FUKUMOTO Fumiyo, SUZUKI Yoshimi

    IEICE transactions on information and systems   89 ( 4 )   1543 - 1554   2006.4

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    Language:English   Publisher:The Institute of Electronics, Information and Communication Engineers  

    We address the problem of dealing with large collections of data, and investigate the use of automatically constructing domain specific category hierarchies to improve text classification. We use two well-known techniques, the partitioning clustering method called k-means and loss function, to create the category hierarchy. The k-means method involves iterating through the data that the system is permitted to classify during each iteration and construction of a hierarchical structure. In general, the number of clusters k is not given beforehand. Therefore, we used a loss function that measures the degree of disappointment in any differences between the true distribution over inputs and the learner's prediction to select the appropriate number of clusters k. Once the optimal number of k is selected, the procedure is repeated for each cluster. Our evaluation using the 1996 Reuters corpus, which consists of 806,791 documents, showed that automatically constructing hierarchies improves classification accuracy.

    CiNii Research

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  • マルチモーダルユーザインターフェースを備えた高次コミュニケーション空間の構築に関する研究開発通信放送機構委託研究(1997-2001)

    伊藤 洋, 今宮 淳美, 岩沼 宏治, 小方 孝, 小澤 賢司, 唐澤 博, 郷 健太郎, 茅 暁陽, 福本 文代, 服部 元信

    山梨大學工學部研究報告   51   39 - 46   2002

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    Language:Japanese   Publisher:山梨大学  

    CiNii Research

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  • 超高速ATM LANの構築法と次世代ユーザーインタフェースに関する研究

    栗原 光信, 今宮 淳美, 田中 章司郎, 岩沼 宏治, 茅 暁陽, 渡辺 喜道, 福本 文代, 森澤 正之, 吉川 雅修, 鈴木 良弥, 鈴木 智博, 半田 忍

    山梨大学地域共同開発研究センター研究成果報告書   6   17 - 21   1998

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    Language:Japanese   Publisher:山梨大学  

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  • 辞書の語義文を用いた文書の自動分類

    福本文代

    情報処理学会論文誌   37 ( 10 )   1789 - 1799   1996

Awards

  • Best Paper Award

    2012.10   Institute for Systems and Technology of Information, Control and Communication  

    Fumiyo Fukumoto, Yoshimi Suzuki

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    国際会議名: International Conference on Knowledge Engineering and Ontology Development
    論文題目: `Semantic Classification of Unknown Words based on Graph-based Semi-supervised Clustering'

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  • 優秀論文賞

    2010.12   楽天技術研究所  

    山本剛士, 福本文代

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    「正事例とラベルなしデータによる文書の自動分類」

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Research Projects

  • Implicit Emotion Model with Domain Specific Senses and Text Coherence

    Grant number:24K15085  2024.4 - 2027.3

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

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    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

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  • Effect of sentiment conversion in future vision-based design

    Grant number:24K15633  2024.4 - 2027.3

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

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    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

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  • Learning Reliable Deep Models from Noise Labels by Crowdsourcing

    Grant number:23K28092  2023.4 - 2027.3

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

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    Grant amount:\18720000 ( Direct Cost: \14400000 、 Indirect Cost:\4320000 )

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  • Positive Keyboard: A New Approach to Positive Psychological Intervention on Well-being with Text Entry

    Grant number:20K11904  2020.4 - 2023.3

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

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    Grant amount:\4290000 ( Direct Cost: \3300000 、 Indirect Cost:\990000 )

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  • マルチタスク学習による論文の採否自動判定

    2019.4 - 2022.3

    KDDI Foundation 

    Li Jyli

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    Grant type:Competitive

    Grant amount:\3000000 ( Direct Cost: \3000000 )

    学術論文の採否判定を新規性や明瞭性など複数の評価項目からなるマルチタスクと仮定し、アテンション機構を用いたマルチタスク学習により論文の採否を自動的に判定するシステムを開発する。

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  • 生活習慣病改善のための嗜好に基づく食事メニュー推奨システム

    2018.10 - 2019.9

    浦上食品・食文化振興財団 

    Fumiyo Fukumoto

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\3000000 ( Direct Cost: \3000000 )

    食事の嗜好を食生活の主体的・継続的改善のための活力として位置付けることにより生活習慣病の予備群を減らすことを目的とする。

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  • 大域的な分野依存語義の抽出とヒトの修正過程に基づく文書の自動分類

    2017.4 - 2022.3

    日本学術振興会  基盤研究(c)

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    Grant type:Competitive

    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

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  • Learning Timeline Difference for Text Categorization based on Global Features of Word Senses and Category Modification

    Grant number:17K00299  2017.4 - 2022.3

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

    Fukumoto Fumiyo

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    Grant amount:\4550000 ( Direct Cost: \3500000 、 Indirect Cost:\1050000 )

    The objective of this research is to develop lexical-semantic processing and supervised deep learning technique for text classification that classify test documents which are different period of the training documents. We have published five papers as our research output this pear. More specifically, (1) identification of domain-specific senses, (2) two approaches for word sense disambiguation, and (3) semantic equivalence. Furthermore, we proposed a method to utilize the lexical semantics of a label assigned to the training data and semantics of words in a document to improve the overall performance of text classification task. In future, we are going to extend our current domain-specific senses to fewl labeled training instances.

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  • 語感の計算モデル構築と文書要約への適用

    2017.4 - 2020.3

    Support Center for Advanced Telecommunications Technology Research, Foundation 

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    Grant type:Competitive

    Grant amount:\2500000 ( Direct Cost: \2500000 )

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  • Webページの流動性に即したWebディレクトリの自動改変

    2016.4 - 2018.3

    The Telecommunications Advancement Foundatnion 

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    Grant type:Competitive

    Grant amount:\1020000

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  • all-words WSDシステムの構築及び分類語彙表と岩波国語辞典の対応表作成への利用

    2016.4 - 2018.3

    National Institute for Japanese Language and Linguistics  新領域創出型

    新納浩幸

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    Grant type:Competitive

    Grant amount:\400000

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  • 時系列文書を対象とした語義に関する局所・大域的特徴量の抽出と続報記事判定への適用

    2013.5 - 2016.5

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    Grant type:Competitive

    Grant amount:\3800000

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  • 時間を考慮した潜在的トピック抽出と長時間データを対象としたテキスト分類への適用

    2013.5 - 2014.5

    National Institute of Informatics 

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    Grant type:Competitive

    Grant amount:\800000

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  • Computational Approach to Fashion Fitting based on Subjective Measure and Statistical Learning

    Grant number:25280037  2013.4 - 2017.3

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

    MAO Xiaoyang, GYOBA Jiro, FUKUMOTO Fumiyo

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    Grant amount:\18070000 ( Direct Cost: \13900000 、 Indirect Cost:\4170000 )

    Online shopping of clothing items becomes more and more popular. However there was a lot of voices that failed in online shopping, such as "The design was different from what it looked on the webpage”. Whether a certain clothing suits a particular individual is not only decided by the feature of the person's face or body shape, but also greatly influenced by his / her preference in addition to social factors such as fashion trend and occupation. In this research, we aimed at developing new technologies enabling users to search for the clothing items matching both the feature of their body shape as well as their subjective preferences. The developed technologies used modern computer vision technologies for extracting features from clothing images and 3D depth camera or scanners, and used machine learning approaches for reflecting the preference of users in the searching process.

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  • 翻訳知識獲得のための多言語インターネットディレクトリィの自動統合

    2012.4 - 2013.3

    The Telecommunications Advancement Foundatnion 

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    Grant type:Competitive

    Grant amount:\1001000 ( Indirect Cost:\100000 )

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  • 時系列データを対象とした複数文書要約のための話題と背景の抽出

    2011.4 - 2013.3

    National Institute of Informatics 

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    Grant type:Competitive

    Grant amount:\1800000

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  • 生活習慣病の主体的・継続的な改善を目指した食事メニュー推奨システムの開発

    2011.4 - 2013.3

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    Grant type:Competitive

    Grant amount:\2800000 ( Indirect Cost:\3640000 )

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  • 電子化辞書における各語義への分野名の自動付与

    2011.4 - 2012.3

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    Grant type:Competitive

    Grant amount:\550000

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  • 翻訳知識獲得のための多言語インターネットディレクトリィの自動統合

    2011.4 - 2012.3

    The Telecommunications Advancement Foundatnion 

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    Grant type:Competitive

    Grant amount:\1060000 ( Indirect Cost:\106000 )

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  • 時系列データを対象とした検索のための語義と時間に基づく意味処理

    2011

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    Grant type:Competitive

    Grant amount:\14313000

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  • 語義に基づく日英関連文書の抽出と続報記事判定への適用

    2008.5 - 2011.3

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    Grant type:Competitive

    Grant amount:\3600000 ( Indirect Cost:\660000 )

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  • Webデータを利用した語義の曖昧さ解消とインターネットディレクトリィ統合への適用

    2007

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    Grant type:Competitive

    Grant amount:\4993000

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  • 多言語コーパスを利用した語義の曖昧さ解消と続報記事抽出への適用

    2005.4 - 2007.3

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    Grant type:Competitive

    Grant amount:\3600000

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  • 大規模コンテンツからの知識獲得と情報検索への適用

    2004.4 - 2006.3

    KDDI Foundation 

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    Grant type:Competitive

    Grant amount:\2000000

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  • 大規模WEBコンテンツを対象とした内容に基づく要約のための知識獲得に関する研究

    2004.4 - 2006.3

    The Telecommunications Advancement Foundatnion 

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    Grant type:Competitive

    Grant amount:\3000000

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  • 複数の単語に関する語義の同時解消と情報検索における検索質問拡張への適用

    2003.4 - 2005.3

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    Grant type:Competitive

    Grant amount:\3900000

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  • 大規模WEBコンテンツの分類及びXMLへの変換と高機能XML文書管理システム

    2003.4 - 2004.3

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    Grant type:Competitive

    Grant amount:\5500000

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  • 大規模コーパスを対象としたテキストの自動分類

    2003.4 - 2004.3

    Kayamori Foundation of Informational Science Advancement 

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    Grant type:Competitive

    Grant amount:\1000000

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  • 大規模データからの知識獲得と多言語情報検索への適用

    2002.4 - 2003.3

    Research Foundation for the Electrotechnology of Chubu 

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    Grant type:Competitive

    Grant amount:\1000000

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  • 語義の曖昧さ解消に必要な属性の自動選択と解消結果の情報検索への適用

    2001.4 - 2003.3

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    Grant type:Competitive

    Grant amount:\3400000

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  • コーパスベースによる自然言語の曖昧さ解消結果の情報検索への適用

    2000.4 - 2002.3

    Artificial Intelligence Research Promotion Foundation 

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    Grant type:Competitive

    Grant amount:\600000

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  • コーパスに基づく語義の曖昧さ解消とテキスト要約への適用

    1999.4 - 2001.3

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    Grant type:Competitive

    Grant amount:\2200000

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  • 続報情報に基づく複数文書の要約技術に関する研究

    1999.4 - 2000.3

    Tateishi Science and Technology Foundation 

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    Grant type:Competitive

    Grant amount:\2000000

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  • 語義の曖昧性解消に基づく文書の自動分類とその分野名の自動生成

    1997.4 - 1999.3

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    Grant type:Competitive

    Grant amount:\2300000

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  • 辞書の語義文を利用したコーパスの自動細分類とその分野名の自動生成

    1996.4 - 1997.3

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    Grant type:Competitive

    Grant amount:\900000

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  • Developing the mechanism of recovery from error and user interface evaluation metrics, and proposing user model

    Grant number:08680429  1996 - 1998

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

    IMAMIYA Atsumi, FUKUMOTO Fumiyo

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    Grant amount:\2500000 ( Direct Cost: \2500000 )

    All men make mistakes. You cannot image that the user works on a computer system without any mistake operation. Therefore, to prevent the user from making predictable mistakes and allow the user to recover his work when a mistake happens are always very important topics of human computer interaction.
    1. As for recovery operations, the user may want to select a command to undo or redo, this is called as command-based recovery operation ; the user may also want to select an object to recover its state by undo and redo, this is called as object-based recovery operation. Most undo models are command-based undo models and do not allow object-based recovery operation. In this project, two undo models are proposed : the object-based linear undo model and the object-based nonlinear undo model. Both undo models can support object-based recovery operation.
    2. We have proposed and developed a new user interface tool to the direct selective UNDO/REDO mechanism. The visualized history dialog box provides a WYSIWYG user interface to users so that the users can find out the command to be undone/redone in more efficient way. The ability to present the history of a set of one or more particular objects would be helpful feature in the future generation of history presentation.

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  • 辞書の語義文を利用したコーパスの自動細分類と文の対象分野同定への応用

    Grant number:08780342  1996

    日本学術振興会  科学研究費助成事業  奨励研究(A)

    福本 文代

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    Grant amount:\900000 ( Direct Cost: \900000 )

    本研究ではコーパスの自動分類に関する手法の提案を行なった.本研究でアピールする点,特に関連する研究との差異に注目した特徴は以下の通りである.
    ・分野が限定されているコーパスをさらに細かく分類するために,多義語の解消と名詞同士のリンク付けを行なっている.
    新聞記事,百科事典など,広範囲の分野を対象とした研究は従来から数多く行なわれている.これらの多くは頻度情報を基に語の統計的な情報を用いて分類を行なっている.しかし,予め分野が限定されているコーパスにおいて,これらの手法を用いて各文書の特徴を表現することは難しい.本研究ではこの問題に対処するため,名詞の多義解消と名詞同士のリンク付け(意味的に近い名詞同士をクラスでまとめる)を提案し,これを用いることで文書の分類を行なっている(論文1参照).
    実験では,先ず本手法で用いられている多義の解消と名詞間のリンク付けが文書のクラスタリングに対して有効であるかどうかを検証するため,1.単語の重み付けに頻度を用いて文書のクラスタリングを行なう手法,2.多義の解消のみを行なう手法,3.名詞間のリンク付けのみを行なう手法,4.多義の解消と名詞間のリンク付けを行なう手法(本手法)の実験を行なった.その結果,それぞれ,47.5%,52.5%,57.5%,72.5%の正解率が得られた.次に,湯浅らの提案した名詞間の共起関係を利用した文書の分類方法と比較した結果,湯浅らの手法が平均65.0%に対し,本手法では,72.5%の正解率を得た(論文2参照).

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  • コーパスに基づく自然言語処理の曖昧性解消に関する研究

    1995.4 - 1996.3

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    Grant type:Competitive

    Grant amount:\1100000

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