Search Results for author: Ivan Meza-Ruiz

Found 2 papers, 1 papers with code

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

1 code implementation • ACL 2022 • Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John Ortega, Ricardo Ramos, Annette Rios, Ivan Meza-Ruiz, Gustavo A. Giménez-Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann

Continued pretraining offers improvements, with an average accuracy of 44. 05%.

Cross-Lingual Transfer Natural Language Understanding +3

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Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages

no code implementations • NAACL 2018 • Katharina Kann, Manuel Mager, Ivan Meza-Ruiz, Hinrich Schütze

Morphological segmentation for polysynthetic languages is challenging, because a word may consist of many individual morphemes and training data can be extremely scarce.

Cross-Lingual Transfer Data Augmentation +1

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