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平尾努 研究業績一覧 (14件)
論文
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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.
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西川仁,
有田一穂,
田中 克己,
平尾 努,
牧野 俊朗,
松尾 義博.
識別的半マルコフモデルによる テキスト結束性を考慮した単一文書要約,
情報処理学会論文誌,
情報処理学会,
57,
2,
769-782,
Feb. 2016.
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菊池悠太,
平尾努,
高村大也,
奥村学,
永田昌明.
入れ子依存木の刈り込みによる単一文書要約手法,
自然言語処理,
Vol. 22,
No. 3,
pp. 197-217,
Sept. 2015.
国際会議発表 (査読有り)
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Aru Maekawa,
Tsutomu Hirao,
Hidetaka Kamigaito,
Manabu Okumura.
Can we obtain significant success in RST discourse parsing by using Large Language Models?,
The 18th Conference of the European Chapter of the Association for Computational Linguistics(EACL2024),
Mar. 2024.
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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.
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Naoki Kobayashi,
Tsutomu Hirao,
Hidetaka Kamigaito,
Manabu Okumura,
Masaaki Nagata.
Improving Neural RST Parsing Model with Silver Agreement Subtrees,
NAACL-HLT 2021,
June 2021.
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Naoki Kobayashi,
Tsutomu Hirao,
Hidetaka Kamigaito,
Manabu Okumura,
Masaaki Nagata.
Improving Neural RST Parsing Model with Silver Agreement Subtrees,
NAACL-HLT 2021,
June 2021.
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Naoki Kobayashi,
Tsutomu Hirao,
Hidetaka Kamigaito,
Manabu Okumura,
Masaaki Nagata.
Improving Neural RST Parsing Model with Silver Agreement Subtrees,
NAACL-HLT 2021,
June 2021.
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Soichiro Fujita,
Tsutomu Hirao,
Hidetaka Kamigaito,
Manabu Okumura,
Masaaki Nagata.
SODA: Story Oriented Dense Video Captioning Evaluation Framework,
ECCV 2020,
Aug. 2020.
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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.
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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.
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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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Hidetaka Kamigaito,
Katsuhiko Hayashi,
Tsutomu Hirao,
Hiroya Takamura,
Manabu Okumura,
Masaaki Nagata.
Supervised Attention for Sequence-to-Sequence Constituency Parsing,
IJCNLP2017,
Nov. 2018.
国内会議発表 (査読なし・不明)
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