Updated on 2024/02/07

写真a

 
HARA Kazuo
 
Title
Associate Professor

Research Areas

  • Informatics / Statistical science

  • Informatics / Database

  • Informatics / Intelligent informatics

Graduating School

  • The University of Tokyo, Faculty of Engineering

    1994.03, Graduated

  • The University of Tokyo

    1996.03, Graduated

External Career

  • , Researcher, 2007.04 - 2011.03

  • , Researcher, 2011.04 - 2016.07

  • , Assistant Professor, 2016.08 - 2017.09

 

Papers

  • Investigating Word Vectors for the Negation of Verbs, SN Computer Science, 5(222) 1-20, 2024.01

    Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki

    Multiple Authorship (Only Japanese)

  • Robust Method to Convert HIRAGANA Sequences into Japanese Text, In Proc. of The 2021 IEEE International Conference on Big Data, 6058-6060, 2021.12

    Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki

    Multiple Authorship (Only Japanese)

  • Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials, In Proc. of The 2021 IEEE International Conference on Big Data, 6014-6016, 2021.12

    Tomoya Sasaki, Arisa Nakamura, Jun-ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi

    Multiple Authorship (Only Japanese)

  • Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data, In Proc. of The 2021 IEEE International Conference on Big Data, 5916-5918, 2021.12

    Shizuku Iida, Kazuo Hara

    Multiple Authorship (Only Japanese)

  • Semantic Entanglement on Verb Negation, In Proc. of The 10th International Conference on Data Science, Technology and Applications, 71-78, 2021.07

    Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki

    Multiple Authorship (Only Japanese)

  • Impact of Duplicating Small Training Data on GANs, In Proc. of The 10th International Conference on Data Science, Technology and Applications, 308-315, 2021.07

    Yuki Eizuka, Kazuo Hara, Ikumi Suzuki

    Multiple Authorship (Only Japanese)

  • Target Evaluation for Neural Language Model Using Japanese Case Frame, In Proc. The 12th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 2020.11

    Kazuhito Tamura,Ikumi Suzuki, Kazuo Hara

    Multiple Authorship (Only Japanese)

  • Centered kNN Graph for Semi-Supervised Learning, In Proc. the 40th Annual ACM SIGIR Conference (SIGIR), 857-860, 2017.08

    Ikumi Suzuki, Kazuo Hara

    Multiple Authorship (Only Japanese)

  • Coordination-aware Dependency Parsing (Preliminary Report), In Proc. the 14th International Conference on Parsing Technologies (IWPT), 66-70, 2015.07

    Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

  • Localized Centering: Reducing Hubness in Large-Sample Data, In Proc. the 29th AAAI Conference on Artificial Intelligence (AAAI), 2645-2651, 2015.01

    Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu and Miloš Radovanović

    Multiple Authorship (Including Foreigners)

  • Ridge Regression, Hubness, and Zero-Shot Learning, MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT I, 9284 135-151, 2015

    Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

  • Reducing Hubness: A Cause of Vulnerability in Recommender Systems, SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 815-818, 2015

    Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu

    Multiple Authorship (Only Japanese)

  • Reducing Hubness for Kernel Regression, SIMILARITY SEARCH AND APPLICATIONS, SISAP 2015, 9371 339-344, 2015

    Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovi

    Multiple Authorship (Including Foreigners)

  • Reducing Hubs with Laplacian-based Kernels, Transactions of the Japanese Society for Artificial Intelligence, 28(3) 297-310, 2013

    Suzuki Ikumi, Hara Kazuo, Shimbo Masashi, Matsumoto Yuji

    Multiple Authorship (Only Japanese)

  • Computation of Contextual Word Similarity Exploiting Syntactic and Semantic Structural Co-occurrences, Transactions of the Japanese Society for Artificial Intelligence, 28(4) 379-390, 2013

    Hara Kazuo, Suzuki Ikumi, Shimbo Masashi, Matsumoto Yuji

    Multiple Authorship (Only Japanese)

  • Investigating the Effectiveness of Laplacian-based Kernels in Hub Reduction, In Proc. the 26th AAAI Conference on Artificial Intelligence (AAAI), 1112-1118, 2012.07

    Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens

    Multiple Authorship (Including Foreigners)

  • Mining Personal Experiences and Opinions from Web Documents, Web Intelligence and Agent Systems, 9(2) 109-121, 2011

    Shuya Abe, Kentaro Inui, Kazuo Hara, Hiraku Morita, Chitose Sao 他

    Multiple Authorship (Only Japanese)

  • Assessment of NER Solutions against the First and Second CALBC Silver Standard Corpus, Journal of Biomedical Semantics, 2(5) S11, 2011

    Dietrich Rebholz-Schuhmann, Antonio J Yepes, Kazuo Hara 他

    Multiple Authorship (Including Foreigners)

  • Unsupervised WSD by Finding the Predominant Sense Using Context as a Dynamic Thesaurus, Journal of Computer Science and Technology, 25(5) 560-569, 2010

    Javier Tejada-Cárcamo, Hiram Calvo, Alexander Gelbukh, Kazuo Hara

    Multiple Authorship (Including Foreigners)

  • Towards Automatic Biomedical Entity Annotation by Reducing Error Propagation, In Proc. The 1st CALBC Workshop, 35-37, 2010

    Kazuo Hara

    Single Author

  • Bypassed Alignment Graph for Learning Coordination in Japanese Sentences, In Proc. the Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), 5-8, 2009.08

    Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

  • Coordinate Structure Analysis with Global Structural Constraints and Alignment-based Local Features, In Proc. the Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP), 967-975, 2009.08

    Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

  • Experience mining: Building a large-scale database of personal experiences and opinions from web documents, Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008, 314-321, 2008

    Kentaro Inui, Shuya Abe, Kazuo Hara, Hiraku Morita, Chitose Sao, Megumi Eguchi, Asuka Sumida, Koji Murakami, Suguru Matsuyoshi

    Multiple Authorship (Only Japanese)

  • Classifying Narrative Patient Records without Any External Resources, In Proc. The Second i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, 1-3, 2008

    Kazuo Hara

    Single Author

  • A Discriminative Learning Model for Coordinate Conjunctions, In Proc. the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), 610-619, 2007.06

    Masashi Shimbo, Kazuo Hara, qual contributi

    Multiple Authorship (Only Japanese)

  • Extracting clinical trial design information from MEDLINE abstracts, New Generation Computing, 25(4) 263-275, 2007.01

    Kazuo Hara, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

  • Applying a SVM based Chunker and a Text Classifier to the Deid Challenge, In Proc. The i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, 1-3, 2006

    Kazuo Hara

    Single Author

  • Information Extraction and Sentence Classification Applied to Clinical Trial MEDLINE Abstracts, In Proc. The 2005 International Joint Conference of InCoB, AASBi and KSBI (BIOINFO 2005), 85-90, 2005

    Kazuo Hara, Yuji Matsumoto

    Multiple Authorship (Only Japanese)

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Grant-in-Aid for Scientific Research

  • Grant-in-Aid for Scientific Research(C),2021.04 - 2025.03

  • Grant-in-Aid for Scientific Research(C),2021.04 - 2023.03

  • Grant-in-Aid for Scientific Research(B),2016.04 - 2021.03

  • Grant-in-Aid for Scientific Research(C),2012.04 - 2016.03

  • Grant-in-Aid for Young Scientists(B),2009.04 - 2012.03

Presentations

  • Proceedings of the Annual Conference of JSAI, Domestic presentation, 2020.06, Evaluation of Language Model Using Japanese Case Frame, Oral presentation (general)