AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages
Abteen Ebrahimia b, Manuel Magera b, Arturo Oncevayb c, Vishrav Chaudharyd e, Luis Chiruzzoa b, Angela Fana f g, John E. Ortegab c, Ricardo Ramosb h, Annette Riosb i, Iván Mezab, Gustavo A. Giménez-Lugoa b, Elisabeth Magerb c, Graham Neubigb i, Alexis Palmera b, Rolando Coto‐Solanob, Thang Vub c, Katharina Kannb i
- aUniversity of Stuttgart
- bCarnegie Mellon University Dartmouth College
- cNew York University Universidad de la República , Uruguay
- dCarnegie Mellon University Dartmouth College Microsoft Turing ∇ Facebook AI Research Ω
- eMicrosoft
- fFacebook AI Research Ω New York University Universidad de la República, Uruguay
- gη Universidad Tecnológica de Tlaxcala Universidad Nacional Autónoma de México ♣ Universidade Tecnológica Federal do Paraná ♦ University of Colorado Boulder ♥ University of Edinburgh ♠ University of Stuttgart ψ University of Zurich
- hUniversidad Tecnológica de Tlaxcala Universidad Nacional Autónoma de México ♣ Universidade Tecnológica Federal do Paraná ♦ University of Colorado Boulder ♥ University of Edinburgh ♠
- iψ University of Zurich
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Abstract
Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir Meza Ruiz, Gustavo Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Thang Vu, Katharina Kann. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.

