| Dependency tree-based sentiment classification using CRFs with hidden variables T Nakagawa, K Inui, S Kurohashi Human Language Technologies: The 2010 Annual Conference of the North …, 2010 | 442 | 2010 |
| 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 | 362 | 2004 |
| 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 | 234 | 2007 |
| Emotion classification using massive examples extracted from the web R Tokuhisa, K Inui, Y Matsumoto Proceedings of the 22nd International Conference on Computational …, 2008 | 205 | 2008 |
| Text simplification for reading assistance: a project note K Inui, A Fujita, T Takahashi, R Iida, T Iwakura Proceedings of the second international workshop on Paraphrasing, 9-16, 2003 | 205 | 2003 |
| Selective sampling for example-based word sense disambiguation A Fujii, K Inui, T Tokunaga, H Tanaka arXiv preprint cs/9910020, 1999 | 189 | 1999 |
| 意見抽出のための評価表現の収集 小林のぞみ， 乾健太郎， 松本裕治， 立石健二， 福島俊一 自然言語処理 12 (3), 203-222, 2005 | 177 | 2005 |
| Annotating a Japanese text corpus with predicate-argument and coreference relations R Iida, M Komachi, K Inui, Y Matsumoto Proceedings of the linguistic annotation workshop, 132-139, 2007 | 137 | 2007 |
| Neural architectures for fine-grained entity type classification S Shimaoka, P Stenetorp, K Inui, S Riedel arXiv preprint arXiv:1606.01341, 2016 | 120 | 2016 |
| Experience mining: Building a large-scale database of personal experiences and opinions from web documents K Inui, S Abe, K Hara, H Morita, C Sao, M Eguchi, A Sumida, K Murakami, ... 2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008 | 112 | 2008 |
| Incorporating contextual cues in trainable models for coreference resolution R Iida, K Inui, H Takamura, Y Matsumoto Proceedings of the EACL Workshop on the Computational Treatment of Anaphora …, 2003 | 101 | 2003 |
| An empirical study of incorporating pseudo data into grammatical error correction S Kiyono, J Suzuki, M Mita, T Mizumoto, K Inui arXiv preprint arXiv:1909.00502, 2019 | 90 | 2019 |
| What makes reading comprehension questions easier? S Sugawara, K Inui, S Sekine, A Aizawa arXiv preprint arXiv:1808.09384, 2018 | 87 | 2018 |
| Exploiting syntactic patterns as clues in zero-anaphora resolution R Iida, K Inui, Y Matsumoto Proceedings of the 21st International Conference on Computational …, 2006 | 83 | 2006 |
| Simulator platform that enables social interaction simulation—SIGVerse: SocioIntelliGenesis simulator T Inamura, T Shibata, H Sena, T Hashimoto, N Kawai, T Miyashita, ... 2010 IEEE/SICE International Symposium on System Integration, 212-217, 2010 | 82 | 2010 |
| An attentive neural architecture for fine-grained entity type classification S Shimaoka, P Stenetorp, K Inui, S Riedel arXiv preprint arXiv:1604.05525, 2016 | 81 | 2016 |
| Opinion mining from web documents: Extraction and structurization N Kobayashi, K Inui, Y Matsumoto Information and Media Technologies 2 (1), 326-337, 2007 | 80 | 2007 |
| Attention is not only a weight: Analyzing transformers with vector norms G Kobayashi, T Kuribayashi, S Yokoi, K Inui arXiv preprint arXiv:2004.10102, 2020 | 75* | 2020 |
| 言い換え技術に関する研究動向 乾健太郎， 藤田篤 自然言語処理 11 (5), 151-198, 2004 | 66* | 2004 |
| Encoder-decoder models can benefit from pre-trained masked language models in grammatical error correction M Kaneko, M Mita, S Kiyono, J Suzuki, K Inui arXiv preprint arXiv:2005.00987, 2020 | 64 | 2020 |
Yuji MatsumotoTeam Leader, RIKEN Center for Advanced Intelligence Project確認したメール アドレス: is.naist.jp
