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Kentaro Torisawa
Kentaro Torisawa
Bestätigte E-Mail-Adresse bei nict.go.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Exploiting Wikipedia as external knowledge for named entity recognition
K Torisawa
Proceedings of the 2007 joint conference on empirical methods in natural …, 2007
3652007
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
An error-driven word-character hybrid model for joint Chinese word segmentation and POS tagging
C Kruengkrai, K Uchimoto, Y Wang, K Torisawa, H Isahara
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
1332009
Acquiring hyponymy relations from web documents
K Shinzato, K Torisawa
Proceedings of the Human Language Technology Conference of the North …, 2004
1242004
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
A method to integrate tables of the world wide web
M Yoshida, K Torisawa, J Tsujii
Proceedings of the International Workshop on Web Document Analysis (WDA 2001 …, 2001
1052001
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 Chinese word segmentation and POS tagging with semi-supervised methods using large auto-analyzed data
Y Wang, Y Tsuruoka, W Chen, Y Zhang, K Torisawa
Proceedings of 5th International Joint Conference on Natural Language …, 2011
912011
Inducing gazetteers for named entity recognition by large-scale clustering of dependency relations
K Torisawa
proceedings of ACL-08: HLT, 407-415, 2008
912008
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
Hacking wikipedia for hyponymy relation acquisition
A Sumida, K Torisawa
Proceedings of the Third International Joint Conference on Natural Language …, 2008
872008
Improving dependency parsing with subtrees from auto-parsed data
W Chen, K Uchimoto, K Torisawa
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
842009
Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia.
A Sumida, N Yoshinaga, K Torisawa
LREC, 2008
752008
Automatic discovery of attribute words from web documents
K Tokunaga, J Kazama, K Torisawa
Natural Language Processing–IJCNLP 2005: Second International Joint …, 2005
712005
Multilingual dependency learning: Exploiting rich features for tagging syntactic and semantic dependencies
H Zhao, W Chen, K Uchimoto, K Torisawa
Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009
702009
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
Hypernym discovery based on distributional similarity and hierarchical structures
I Yamada, K Torisawa, K Kuroda, M Murata, S De Saeger, F Bond, ...
Proceedings of the 2009 conference on empirical methods in natural language …, 2009
612009
Multi-column convolutional neural networks with causality-attention for why-question answering
JH Oh, K Torisawa, C Kruengkrai, R Iida, J Kloetzer
Proceedings of the Tenth ACM international conference on web search and data …, 2017
602017
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