| Applying conditional random fields to Japanese morphological analysis T Kudo, K Yamamoto, Y Matsumoto Proceedings of the 2004 conference on empirical methods in natural language …, 2004 | 1481 | 2004 |
| LUKE: Deep contextualized entity representations with entity-aware self-attention I Yamada, A Asai, H Shindo, H Takeda, Y Matsumoto arXiv preprint arXiv:2010.01057, 2020 | 950 | 2020 |
| Statistical dependency analysis with support vector machines H Yamada, Y Matsumoto Proceedings of the eighth international conference on parsing technologies …, 2003 | 891 | 2003 |
| Chunking with support vector machines T Kudo, Y Matsumoto Second meeting of the North American chapter of the Association for …, 2001 | 749 | 2001 |
| Japanese dependency analysis using cascaded chunking T Kudo, Y Matsumoto proceedings of the 6th conference on Natural language learning, 1-7, 2002 | 738 | 2002 |
| Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach T Hamaguchi, H Oiwa, M Shimbo, Y Matsumoto arXiv preprint arXiv:1706.05674, 2017 | 476 | 2017 |
| Use of support vector learning for chunk identification T Kudo, Y Matsumoto Fourth conference on computational natural language learning and the second …, 2000 | 448 | 2000 |
| Collecting evaluative expressions for opinion extraction N Kobayashi, K Inui, Y Matsumoto, K Tateishi, T Fukushima International Conference on Natural Language Processing, 596-605, 2004 | 395 | 2004 |
| Ridge regression, hubness, and zero-shot learning Y Shigeto, I Suzuki, K Hara, M Shimbo, Y Matsumoto Joint European conference on machine learning and knowledge discovery in …, 2015 | 373 | 2015 |
| Japanese named entity extraction with redundant morphological analysis M Asahara, Y Matsumoto Proceedings of the 2003 human language technology conference of the North …, 2003 | 330 | 2003 |
| Wikipedia2Vec: An efficient toolkit for learning and visualizing the embeddings of words and entities from Wikipedia I Yamada, A Asai, J Sakuma, H Shindo, H Takeda, Y Takefuji, ... Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 300 | 2020 |
| Mining revision log of language learning SNS for automated Japanese error correction of second language learners T Mizumoto, M Komachi, M Nagata, Y Matsumoto Proceedings of 5th international joint conference on natural language …, 2011 | 298 | 2011 |
| Fast methods for kernel-based text analysis T Kudo, Y Matsumoto Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 298 | 2003 |
| Universal Dependencies 2.2 J Nivre, M Abrams, Ž Agić, L Ahrenberg, L Antonsen, MJ Aranzabe, ... | 263 | 2018 |
| Extracting aspect-evaluation and aspect-of relations in opinion mining N Kobayashi, K Inui, Y Matsumoto Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 262 | 2007 |
| An application of boosting to graph classification T Kudo, E Maeda, Y Matsumoto Advances in neural information processing systems 17, 2004 | 250 | 2004 |
| Emotion classification using massive examples extracted from the web R Tokuhisa, K Inui, Y Matsumoto Proceedings of the 22nd International Conference on Computational …, 2008 | 244 | 2008 |
| A boosting algorithm for classification of semi-structured text T Kudo, Y Matsumoto Proceedings of the 2004 conference on empirical methods in natural language …, 2004 | 242 | 2004 |
| BUP: a bottom-up parser embedded in Prolog Y Matsumoto, H Tanaka, H Hirakawa, H Miyoshi, H Yasukawa New Generation Computing 1 (2), 145-158, 1983 | 235 | 1983 |
| Interpretable adversarial perturbation in input embedding space for text M Sato, J Suzuki, H Shindo, Y Matsumoto arXiv preprint arXiv:1805.02917, 2018 | 219 | 2018 |
Masayuki AsaharaNational Institute for Japanese Language and LinguisticsVerified email at ninjal.ac.jp
