"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer

Shanu Kumar, Sandipan Dandapat, Monojit Choudhury. "Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer. 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 1042-1055, Association for Computational Linguistics, 2022. [doi]

@inproceedings{KumarDC22-0,
  title = {"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer},
  author = {Shanu Kumar and Sandipan Dandapat and Monojit Choudhury},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-naacl.78},
  researchr = {https://researchr.org/publication/KumarDC22-0},
  cites = {0},
  citedby = {0},
  pages = {1042-1055},
  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},
}