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Chikara HASHIMOTO
Chikara HASHIMOTO
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Year
Aid is out there: Looking for help from tweets during a large scale disaster
I Varga, M Sano, K Torisawa, C Hashimoto, K Ohtake, T Kawai, JH Oh, ...
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
1382013
Toward future scenario generation: Extracting event causality exploiting semantic relation, context, and association features
C Hashimoto, K Torisawa, J Kloetzer, M Sano, I Varga, JH Oh, Y Kidawara
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
1342014
Why-question answering using intra-and inter-sentential causal relations
JH Oh, K Torisawa, C Hashimoto, M Sano, S De Saeger, K Ohtake
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
1052013
Excitatory or inhibitory: A new semantic orientation extracts contradiction and causality from the web
C Hashimoto, K Torisawa, S De Saeger, JH Oh
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
992012
Improving event causality recognition with multiple background knowledge sources using multi-column convolutional neural networks
C Kruengkrai, K Torisawa, C Hashimoto, J Kloetzer, JH Oh, M Tanaka
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
882017
Why question answering using sentiment analysis and word classes
JH Oh, K Torisawa, C Hashimoto, T Kawada, S De Saeger, Y Wang
Proceedings of the 2012 joint conference on empirical methods in natural …, 2012
882012
Non-factoid question-answering system and computer proGram
J Oh, K Torisawa, C Hashimoto, T Kawada, S De Saeger, J Kazama, ...
US Patent 9,697,477, 2017
672017
Construction of an idiom corpus and its application to idiom identification based on WSD incorporating idiom-specific features
C Hashimoto, D Kawahara
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
572008
Large-scale verb entailment acquisition from the web
C Hashimoto, K Torisawa, K Kuroda, S De Saeger, M Murata
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
552009
A semi-supervised learning approach to why-question answering
JH Oh, K Torisawa, C Hashimoto, R Iida, M Tanaka, J Kloetzer
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
502016
Extracting paraphrases from definition sentences on the web
C Hashimoto, K Torisawa, S De Saeger, S Kurohashi
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
502011
WISDOM X, DISAANA and D-SUMM: Large-scale NLP systems for analyzing textual big data
J Mizuno, M Tanaka, K Ohtake, JH Oh, J Kloetzer, C Hashimoto, ...
Proceedings of COLING 2016, the 26th International Conference on …, 2016
472016
Generating event causality hypotheses through semantic relations
C Hashimoto, K Torisawa, J Kloetzer, JH Oh
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
452015
The hinoki treebank A treebank for text understanding
F Bond, S Fujita, C Hashimoto, K Kasahara, S Nariyama, E Nichols, ...
Natural Language Processing–IJCNLP 2004: First International Joint …, 2005
442005
Japanese idiom recognition: Drawing a line between literal and idiomatic meanings
C Hashimoto, S Sato, T Utsuro
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 353-360, 2006
392006
Question-Answering System Training Device and Computer Program Therefor
J Oh, K Torisawa, C Hashimoto, I Ryu, M Tanaka, J Kloetzer
US Patent App. 15/755,068, 2018
342018
Weakly supervised multilingual causality extraction from Wikipedia
C Hashimoto
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
322019
Intra-sentential zero anaphora resolution using subject sharing recognition
R Iida, K Torisawa, C Hashimoto, JH Oh, J Kloetzer
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
282015
Compilation of an idiom example database for supervised idiom identification
C Hashimoto, D Kawahara
Language resources and evaluation 43, 355-384, 2009
272009
Word sense disambiguation incorporating lexical and structural semantic information
T Tanaka, F Bond, T Baldwin, S Fujita, C Hashimoto
262007
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Articles 1–20