| 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 | 33 | 2020 |
| 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 | 23 | 2017 |
| 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 | 22 | 2018 |
| Towards table-to-text generation with numerical reasoning LH Suadaa, H Kamigaito, K Funakoshi, M Okumura, H Takamura Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 18 | 2021 |
| 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 | 16 | 2018 |
| 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 | 15 | 2019 |
| 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 | 14* | 2013 |
| 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 | 13 | 2020 |
| SODA: Story oriented dense video captioning evaluation framework S Fujita, T Hirao, H Kamigaito, M Okumura, M Nagata Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 11 | 2020 |
| Improving neural RST parsing model with silver agreement subtrees N Kobayashi, T Hirao, H Kamigaito, M Okumura, M Nagata Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 10 | 2021 |
| Generating weather comments from meteorological simulations S Murakami, S Tanaka, M Hangyo, H Kamigaito, K Funakoshi, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 9 | 2021 |
| 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 | 9 | 2018 |
| 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 | 8 | 2019 |
| 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 | 8 | 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 | 8 | 2014 |
| An empirical study of generating texts for search engine advertising H Kamigaito, P Zhang, H Takamura, M Okumura Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 7 | 2021 |
| Fusing label embedding into bert: An efficient improvement for text classification Y Xiong, Y Feng, H Wu, H Kamigaito, M Okumura Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 6 | 2021 |
| Considering nested tree structure in sentence extractive summarization with pre-trained transformer J Kwon, N Kobayashi, H Kamigaito, M Okumura Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 5 | 2021 |
| Abstractive document summarization with word embedding reconstruction J You, C Hu, H Kamigaito, H Takamura, M Okumura Proceedings of the International Conference on Recent Advances in Natural …, 2021 | 5 | 2021 |
| Unified interpretation of softmax cross-entropy and negative sampling: With case study for knowledge graph embedding H Kamigaito, K Hayashi arXiv preprint arXiv:2106.07250, 2021 | 4 | 2021 |
Hiroya TAKAMURAProfessor, Tokyo Institute of TechnologyVerified email at pi.titech.ac.jp
