Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

Hao Fei 0001, Meishan Zhang, Min Zhang, Tat-Seng Chua. Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 9395-9408, Association for Computational Linguistics, 2023. [doi]

@inproceedings{0001ZZC23,
  title = {Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction},
  author = {Hao Fei 0001 and Meishan Zhang and Min Zhang and Tat-Seng Chua},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.599},
  researchr = {https://researchr.org/publication/0001ZZC23},
  cites = {0},
  citedby = {0},
  pages = {9395-9408},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}