Split or Merge: Which is Better for Unsupervised RST Parsing?

Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata. Split or Merge: Which is Better for Unsupervised RST Parsing?. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 5796-5801, Association for Computational Linguistics, 2019. [doi]

@inproceedings{KobayashiHNKON19,
  title = {Split or Merge: Which is Better for Unsupervised RST Parsing?},
  author = {Naoki Kobayashi and Tsutomu Hirao and Kengo Nakamura and Hidetaka Kamigaito and Manabu Okumura and Masaaki Nagata},
  year = {2019},
  doi = {10.18653/v1/D19-1587},
  url = {https://doi.org/10.18653/v1/D19-1587},
  researchr = {https://researchr.org/publication/KobayashiHNKON19},
  cites = {0},
  citedby = {0},
  pages = {5796-5801},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019},
  editor = {Kentaro Inui and Jing Jiang and Vincent Ng and Xiaojun Wan 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-90-1},
}