PhD student at Universidade da Coruña.
Low-resource NLP. Linguistically-driven methods. Syntax of language models. Dependency parsing.
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares. Assessment of Pre-Trained Models Across Languages and Grammars. In IJCNLP-AACL 2023 The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia.
Alberto Muñoz-Ortiz, and David Vilares. 2023. Another Dead End for Morphological Tags? Perturbed Inputs and Parsing. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7301–7310, Toronto, Canada. Association for Computational Linguistics.
Alberto Muñoz-Ortiz, Mark Anderson, David Vilares, and Carlos Gómez-Rodríguez. 2022. Parsing linearizatons appreciate PoS tags – but some are fussy about errors. In IJCNLP-AACL 2022 The 12th International Joint Conference on Natural Language Processing and the 2rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Online.
Alberto Muñoz-Ortiz, Carlos Gómez-Rodríguez, and David Vilares. 2022. Cross-lingual Inflection as a Data Augmentation Method. In Proceedings of the Third Workshop on Insights from Negative Results in NLP, pages 54–61, Dublin, Ireland. Association for Computational Linguistics.
Alberto Muñoz-Ortiz, Michalina Strzyz, and David Vilares. 2021. Not All Linealizations Are Equally Data-Hungry in Sequence Labeling Parsing. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), pages 978–988, Held Online. INCOMA Ltd..