| Exploiting Wikipedia as external knowledge for named entity recognition K Torisawa Proceedings of the 2007 joint conference on empirical methods in natural …, 2007 | 371 | 2007 |
| 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 | 143 | 2014 |
| 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 | 142 | 2013 |
| 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 | 134 | 2009 |
| Acquiring hyponymy relations from web documents K Shinzato, K Torisawa Proceedings of the Human Language Technology Conference of the North …, 2004 | 124 | 2004 |
| 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 | 109 | 2001 |
| 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 | 108 | 2013 |
| 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 | 100 | 2012 |
| 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 | 94 | 2017 |
| 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 | 92 | 2011 |
| Inducing gazetteers for named entity recognition by large-scale clustering of dependency relations K Torisawa proceedings of ACL-08: HLT, 407-415, 2008 | 92 | 2008 |
| 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 | 89 | 2012 |
| Hacking wikipedia for hyponymy relation acquisition A Sumida, K Torisawa Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 88 | 2008 |
| 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 | 84 | 2009 |
| Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia. A Sumida, N Yoshinaga, K Torisawa LREC, 2008 | 76 | 2008 |
| Automatic discovery of attribute words from web documents K Tokunaga, J Kazama, K Torisawa Natural Language Processing–IJCNLP 2005: Second International Joint …, 2005 | 71 | 2005 |
| 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 | 70 | 2009 |
| 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 | 68 | 2017 |
| 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 | 62 | 2009 |
| 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 | 60 | 2017 |
Jong-Hoon OhNICT在 nict.go.jp 的电子邮件经过验证
