| Probabilistic CFG with latent annotations T Matsuzaki, Y Miyao, J Tsujii Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005 | 325 | 2005 |
| Evaluating contributions of natural language parsers to protein–protein interaction extraction Y Miyao, K Sagae, R Sætre, T Matsuzaki, J Tsujii Bioinformatics 25 (3), 394-400, 2009 | 201 | 2009 |
| Incremental joint approach to word segmentation, POS tagging, and dependency parsing in Chinese J Hatori, T Matsuzaki, Y Miyao, J Tsujii Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012 | 135 | 2012 |
| Task-oriented evaluation of syntactic parsers and their representations Y Miyao, R Sætre, K Sagae, T Matsuzaki, J Tsujii Proceedings of ACL-08: HLT, 46-54, 2008 | 120 | 2008 |
| Incremental joint pos tagging and dependency parsing in chinese J Hatori, T Matsuzaki, Y Miyao, J Tsujii Proceedings of 5th international joint conference on natural language …, 2011 | 84 | 2011 |
| New challenges for text mining: mapping between text and manually curated pathways K Oda, JD Kim, T Ohta, D Okanohara, T Matsuzaki, Y Tateisi, J Tsujii BMC bioinformatics 9, 1-14, 2008 | 81 | 2008 |
| Latent variable perceptron algorithm for structured classification X Sun, T Matsuzaki, D Okanohara, J Tsujii Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 78 | 2009 |
| PathText: a text mining integrator for biological pathway visualizations B Kemper, T Matsuzaki, Y Matsuoka, Y Tsuruoka, H Kitano, S Ananiadou, ... Bioinformatics 26 (12), i374-i381, 2010 | 74 | 2010 |
| A discriminative latent variable chinese segmenter with hybrid word/character information X Sun, Y Zhang, T Matsuzaki, Y Tsuruoka, J Tsujii Proceedings of Human Language Technologies: The 2009 Annual Conference of …, 2009 | 63 | 2009 |
| Efficient HPSG Parsing with Supertagging and CFG-Filtering. T Matsuzaki, Y Miyao, Jun'ichi Tsujii IJCAI, 1671-1676, 2007 | 61 | 2007 |
| Logical inference on dependency-based compositional semantics R Tian, Y Miyao, T Matsuzaki Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 60 | 2014 |
| Design and implementation of GXP make—A workflow system based on make K Taura, T Matsuzaki, M Miwa, Y Kamoshida, D Yokoyama, N Dun, ... Future Generation Computer Systems 29 (2), 662-672, 2013 | 49 | 2013 |
| Extracting protein interactions from text with the unified AkaneRE event extraction system R Sætre, K Yoshida, M Miwa, T Matsuzaki, Y Kano, J Tsujii IEEE/ACM transactions on computational biology and bioinformatics 7 (3), 442-453, 2010 | 48 | 2010 |
| Extremely lexicalized models for accurate and fast HPSG parsing T Ninomiya, T Matsuzaki, Y Tsuruoka, Y Miyao, J Tsujii Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006 | 47 | 2006 |
| The most uncreative examinee: A first step toward wide coverage natural language math problem solving T Matsuzaki, H Iwane, H Anai, N Arai Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 40 | 2014 |
| Semi-automatically developing Chinese HPSG grammar from the Penn Chinese Treebank for deep parsing K Yu, Y Miyao, X Wang, T Matsuzaki, J Tsujii Coling 2010: Posters, 1417-1425, 2010 | 36 | 2010 |
| Semantic parsing of pre-university math problems T Matsuzaki, T Ito, H Iwane, H Anai, NH Arai Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 33 | 2017 |
| Probabilistic Chinese word segmentation with non-local information and stochastic training X Sun, Y Zhang, T Matsuzaki, Y Tsuruoka, J Tsujii Information Processing & Management 49 (3), 626-636, 2013 | 30 | 2013 |
| Mathematics by machine NH Arai, T Matsuzaki, H Iwane, H Anai Proceedings of the 39th International Symposium on Symbolic and Algebraic …, 2014 | 28 | 2014 |
| A log-linear model with an n-gram reference distribution for accurate HPSG parsing T Ninomiya, T Matsuzaki, Y Miyao, J Tsujii Proceedings of the Tenth International Conference on Parsing Technologies, 60-68, 2007 | 27 | 2007 |
Junichi TsujiiArtificial Intelligence Research Center, AISTVerified email at aist.go.jp
