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 | 67 | 2021 |
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 | 63 | 2020 |
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 | 56 | 2021 |
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 | 55 | 2020 |
Comprehensive analysis of negative sampling in knowledge graph representation learning H Kamigaito, K Hayashi International Conference on Machine Learning, 10661-10675, 2022 | 32 | 2022 |
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 | 28 | 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 | 25 | 2018 |
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 | 24 | 2020 |
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 | 23 | 2018 |
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 | 22 | 2021 |
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 | 20 | 2021 |
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 | 18 | 2019 |
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 | 17 | 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 | 15 | 2021 |
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 | 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 9 (2), 100-116, 2013 | 15* | 2013 |
One-class text classification with multi-modal deep support vector data description C Hu, Y Feng, H Kamigaito, H Takamura, M Okumura Journal of Natural Language Processing 28 (4), 1053-1088, 2021 | 14 | 2021 |
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 | 14 | 2019 |
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 | 14 | 2018 |
Joint learning-based heterogeneous graph attention network for timeline summarization J You, D Li, H Kamigaito, K Funakoshi, M Okumura Journal of Natural Language Processing 30 (1), 184-214, 2023 | 13 | 2023 |