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Publications

International Conferences

  • A simple and Strong Baseline for End-to-End Neural RST-style Discourse Parsing
    paper(arXiv)
    Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata
    Accepted in Findings of EMNLP 2022.
  • Considering Nested Tree Structure in Sentence Extractive Summarization with Pre-trained Transformer
    paper
    Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito and Manabu Okumura
    In proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021.
    Short paper, Acceptance rate: 11.6% ((300+119)/(2540+1060))
  • Making Your Tweets More Fancy: Emoji Insertion to Texts
    paper
    Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura
    Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP) 2021.
    Long paper.
  • Improving Neural RST Parsing Model with Silver Agreement Subtrees
    paper
    Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata
    In proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2021.
    Long paper, Acceptance rate: ~28% (350/?)
  • Top-down RST Parsing Utilizing Granularity Levels in Documents
    paper
    Naoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata
    In proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2020.
    Long paper, Acceptance rate: 20.6% (1591/7737)
  • Split or Merge: Which is Better for Unsupervised RST Parsing?
    paper
    Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata
    In proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019.
    Short paper, Acceptance rate: 20.5% (218/1063)
  • Bridging between emojis and kaomojis by learning their representations from linguistic and visual information
    paper
    Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura and Manabu Okumura
    In proceedings of the Conference on Web Intelligence (WI). 2019.
    Long paper, Acceptance rate: 18.4%

Domestic Conferences

Experience

  • Internship on NTT Communication Science Laboratories (2018/09/10~11/27)
  • Internship LegalForce Research (2021/10/01~12/31)
  • Internship on NTT Communication Science Laboratories (2022/01/07~01/28)