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ORCIDKazuo Hara
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2020 – today
- 2024
[j5]Tomoya Sasaki, Yuto Kikuchi, Kazuo Hara
, Ikumi Suzuki:
Investigating Word Vectors for the Negation of Verbs. SN Comput. Sci. 5(2): 222 (2024)- 2021
- [c23]Shizuku Iida, Kazuo Hara:
Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data. IEEE BigData 2021: 5916-5918 - [c22]Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi:
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. IEEE BigData 2021: 6014-6016 - [c21]Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki:
Robust Method to Convert HIRAGANA Sequences into Japanese Text. IEEE BigData 2021: 6058-6060 - [c20]Yuto Kikuchi, Kazuo Hara, Ikumi Suzuki:
Semantic Entanglement on Verb Negation. DATA 2021: 71-78 - [c19]Yuki Eizuka, Kazuo Hara, Ikumi Suzuki:
Impact of Duplicating Small Training Data on GANs. DATA 2021: 308-315 - 2020
- [c18]Kazuhito Tamura, Ikumi Suzuki, Kazuo Hara:
Target Evaluation for Neural Language Model using Japanese Case Frame. KDIR 2020: 251-258
2010 – 2019
- 2017
- [c17]Ikumi Suzuki, Kazuo Hara:
Centered kNN Graph for Semi-Supervised Learning. SIGIR 2017: 857-860 - 2016
- [c16]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness. AAAI 2016: 1659-1665 - 2015
- [c15]Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Localized Centering: Reducing Hubness in Large-Sample Data. AAAI 2015: 2645-2651 - [c14]Akifumi Yoshimoto, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Coordination-Aware Dependency Parsing (Preliminary Report). IWPT 2015: 66-70 - [c13]Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Ridge Regression, Hubness, and Zero-Shot Learning. ECML/PKDD (1) 2015: 135-151 - [c12]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu:
Reducing Hubness: A Cause of Vulnerability in Recommender Systems. SIGIR 2015: 815-818 - [c11]Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Kenji Fukumizu, Milos Radovanovic:
Reducing Hubness for Kernel Regression. SISAP 2015: 339-344 - [i1]Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Ridge Regression, Hubness, and Zero-Shot Learning. CoRR abs/1507.00825 (2015) - 2014
- [c10]Kazuo Hara, Ikumi Suzuki, Kousaku Okubo, Isamu Muto:
Annotating Cohesive Statements of Anatomical Knowledge Toward Semi-automated Information Extraction. KDIR 2014: 342-347 - 2013
- [c9]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens, Kenji Fukumizu:
Centering Similarity Measures to Reduce Hubs. EMNLP 2013: 613-623 - 2012
- [c8]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto, Marco Saerens:
Investigating the Effectiveness of Laplacian-Based Kernels in Hub Reduction. AAAI 2012: 1112-1118 - [c7]Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Yuji Matsumoto:
Walk-based Computation of Contextual Word Similarity. COLING 2012: 1081-1096 - 2011
- [j4]Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Chen Li, Senay Kafkas, Ian Lewin, Ning Kang, Peter T. Corbett, David Milward, Ekaterina Buyko, Elena Beisswanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas B. Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura Inés Furlong, Michael Rautschka, Mariana L. Neves, Alberto D. Pascual-Montano, Qi Wei, Nigel Collier, Md. Faisal Mahbub Chowdhury, Alberto Lavelli, Rafael Berlanga Llavori, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn:
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. J. Biomed. Semant. 2(S-5): S11 (2011) - [j3]Shuya Abe, Kentaro Inui, Kazuo Hara, Hiraku Morita, Chitose Sao, Megumi Eguchi, Asuka Sumida, Koji Murakami, Suguru Matsuyoshi:
Mining personal experiences and opinions from Web documents. Web Intell. Agent Syst. 9(2): 109-121 (2011) - 2010
- [j2]Javier Tejada-Cárcamo, Hiram Calvo, Alexander F. Gelbukh, Kazuo Hara:
Unsupervised WSD by Finding the Predominant Sense Using Context as a Dynamic Thesaurus. J. Comput. Sci. Technol. 25(5): 1030-1039 (2010) - [c6]Dietrich Rebholz-Schuhmann, Antonio Jimeno-Yepes, Chen Li, Senay Kafkas, Ian Lewin, Ning Kang, Peter T. Corbett, David Milward, Ekaterina Buyko, Elena Beisswanger, Kerstin Hornbostel, Alexandre Kouznetsov, René Witte, Jonas B. Laurila, Christopher J. O. Baker, Cheng-Ju Kuo, Simon Clematide, Fabio Rinaldi, Richárd Farkas, György Móra, Kazuo Hara, Laura Inés Furlong, Michael Rautschka, Mariana L. Neves, Alberto D. Pascual-Montano, Qi Wei, Nigel Collier, Md. Faisal Mahbub Chowdhury, Alberto Lavelli, Rafael Berlanga Llavori, Roser Morante, Vincent Van Asch, Walter Daelemans, José Luís Marina, Erik M. van Mulligen, Jan A. Kors, Udo Hahn:
Assessment of NER solutions against the first and second CALBC silver standard corpus. Semantic Mining in Biomedicine 2010
2000 – 2009
- 2009
- [c5]Hideharu Okuma, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
Bypassed alignment graph for learning coordination in Japanese sentences. ACL/IJCNLP (2) 2009: 5-8 - [c4]Kazuo Hara, Masashi Shimbo, Hideharu Okuma, Yuji Matsumoto:
Coordinate Structure Analysis with Global Structural Constraints and Alignment-Based Local Features. ACL/IJCNLP 2009: 967-975 - [c3]Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Yuji Matsumoto:
A graph-based approach for biomedical thesaurus expansion. DTMBIO 2009: 79-82 - 2008
- [c2]Kentaro Inui, Shuya Abe, Kazuo Hara, Hiraku Morita, Chitose Sao, Megumi Eguchi, Asuka Sumida, Koji Murakami, Suguru Matsuyoshi:
Experience Mining: Building a Large-Scale Database of Personal Experiences and Opinions from Web Documents. Web Intelligence 2008: 314-321 - 2007
- [j1]Kazuo Hara, Yuji Matsumoto:
Extracting Clinical Trial Design Information from MEDLINE Abstracts. New Gener. Comput. 25(3): 263-275 (2007) - [c1]Masashi Shimbo, Kazuo Hara:
A Discriminative Learning Model for Coordinate Conjunctions. EMNLP-CoNLL 2007: 610-619
Coauthor Index
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