Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing

  1. Rodríguez-Barroso, N.
  2. Cámara, E.M.
  3. Collados, J.C.
  4. Luzón, M.V.
  5. Herrera, F.
Journal:
Transactions of the Association for Computational Linguistics

ISSN: 2307-387X

Year of publication: 2024

Volume: 12

Pages: 724-742

Type: Article

DOI: 10.1162/TACL_A_00664 GOOGLE SCHOLAR lock_openOpen access editor

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