論文

• Hidetaka Kamigaito, Katsuhiko Hayashi, Tsutomu Hirao, Masaaki Nagata, Manabu Okumura. Effectiveness of Syntactic Dependency Information for Higher-Order Syntactic Attention Network, the Journal of Natural Language Processing, Vol. 28, No. 4, Dec. 2021.

国際会議発表 (査読有り)

• Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. A Simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing, The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022), Dec. 2022.
• Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Improving Neural RST Parsing Model with Silver Agreement Subtrees, NAACL-HLT 2021, June 2021.
• Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Improving Neural RST Parsing Model with Silver Agreement Subtrees, NAACL-HLT 2021, June 2021.
• Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Improving Neural RST Parsing Model with Silver Agreement Subtrees, NAACL-HLT 2021, June 2021.
• Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. SODA: Story Oriented Dense Video Captioning Evaluation Framework, ECCV 2020, Aug. 2020.
• Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Top-down RST Parsing Utilizing Granularity Levels in Documents, the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Feb. 2020.
• Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Split or Merge: Which is Better for Unsupervised RST Parsing?, EMNLP-IJCNLP2019, Nov. 2019.
• Takumi Ohtani, Hidetaka Kamigaito, Masaaki Nagata, Manabu Okumura. Context-aware Neural Machine Translation with Coreference Information, DiscoMT2019, Nov. 2019.
• Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Split or Merge: Which is Better for Unsupervised RST Parsing?, Empirical Methods in Natural Language Processing, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics, page 5797--5802, Sept. 2019.

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