| Supervised attention for sequence-to-sequence constituency parsing H Kamigaito, K Hayashi, T Hirao, H Takamura, M Okumura, M Nagata Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 12 | 2017 |
| Similarity search for office XML documents based on style and structure data Y Watanabe, H Kamigaito, H Yokota International Journal of Web Information Systems, 2013 | 12* | 2013 |
| An empirical study of building a strong baseline for constituency parsing J Suzuki, S Takase, H Kamigaito, M Morishita, M Nagata Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 10 | 2018 |
| Higher-Order Syntactic Attention Network for Long Sentence Compression H Kamigaito, K Hayashi, T Hirao, M Nagata Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 8 | 2018 |
| Automatic pyramid evaluation exploiting EDU-based extractive reference summaries T Hirao, H Kamigaito, M Nagata Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 5 | 2018 |
| Top-Down RST Parsing Utilizing Granularity Levels in Documents N Kobayashi, T Hirao, H Kamigaito, M Okumura, M Nagata Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8099-8106, 2020 | 4 | 2020 |
| Unsupervised word alignment using frequency constraint in posterior regularized EM H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita Journal of Natural Language Processing 23 (4), 327-351, 2016 | 4 | 2016 |
| Unsupervised word alignment using frequency constraint in posterior regularized EM H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 4 | 2014 |
| Office XML 文書の部分木に着目した類似スタイルのファイル検索 上垣外英剛， 渡辺陽介， 横田治夫 第 4 回データ工学と情報マネジメントに関するフォーラム (DEIM2012), 2012 | 4 | 2012 |
| Split or Merge: Which is Better for Unsupervised RST Parsing? N Kobayashi, T Hirao, K Nakamura, H Kamigaito, M Okumura, M Nagata Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 3 | 2019 |
| Syntactically Look-Ahead Attention Network for Sentence Compression H Kamigaito, M Okumura Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8050-8057, 2020 | 2 | 2020 |
| Context-aware neural machine translation with coreference information T Ohtani, H Kamigaito, M Nagata, M Okumura Proceedings of the Fourth Workshop on Discourse in Machine Translation …, 2019 | 2 | 2019 |
| Unsupervised Word Alignment by Agreement Under ITG Constraint H Kamigaito, A Tamura, H Takamura, M Okumura, E Sumita Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 2 | 2016 |
| Discourse-aware hierarchical attention network for extractive single-document summarization T Ishigaki, H Kamigaito, H Takamura, M Okumura Proceedings of the International Conference on Recent Advances in Natural …, 2019 | 1 | 2019 |
| Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model H Kamigaito, T Watanabe, H Takamura, M Okumura, E Sumita Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 1 | 2015 |
| Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers L Hulliyyatus Suadaa, H Kamigaito, M Okumura, H Takamura arXiv e-prints, arXiv: 2102.00819, 2021 | | 2021 |
| Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers LH Suadaa, H Kamigaito, M Okumura, H Takamura arXiv preprint arXiv:2102.00819, 2021 | | 2021 |
| Symbol sequence generation apparatus, text compression apparatus, symbol sequence generation method and program H Kamigaito, M Nagata, T Hirao US Patent App. 16/976,932, 2021 | | 2021 |
| A Simple and Effective Usage of Word Clusters for CBOW Model Y Feng, C Hu, H Kamigaito, H Takamura, M Okumura Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | | 2020 |
| Hierarchical Trivia Fact Extraction from Wikipedia Articles J Kwon, H Kamigaito, YI Song, M Okumura Proceedings of the 28th International Conference on Computational …, 2020 | | 2020 |
Hiroya TAKAMURAProfessor, Tokyo Institute of TechnologyVerified email at pi.titech.ac.jp
