Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Oscar Sainz, Itziar Gonzalez-Dios, Oier Lopez de Lacalle, Bonan Min, Eneko Agirre. Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 2439-2455, Association for Computational Linguistics, 2022. [doi]

@inproceedings{SainzGLMA22,
  title = {Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning},
  author = {Oscar Sainz and Itziar Gonzalez-Dios and Oier Lopez de Lacalle and Bonan Min and Eneko Agirre},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-naacl.187},
  researchr = {https://researchr.org/publication/SainzGLMA22},
  cites = {0},
  citedby = {0},
  pages = {2439-2455},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-76-6},
}