Alberto Muñoz-Ortiz

Orcid: 0000-0001-9608-2730

According to our database1, Alberto Muñoz-Ortiz authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Contrasting Linguistic Patterns in Human and LLM-Generated News Text.
Artif. Intell. Rev., September, 2024

From Tokens to Trees: Mapping Syntactic Structures in the Deserts of Data-Scarce Languages.
Proceedings of the Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations (SEPLN-CEDI-PD 2024) co-located with the 7th Spanish Conference on Informatics (CEDI 2024), 2024

2023
Contrasting Linguistic Patterns in Human and LLM-Generated Text.
CoRR, 2023

LyS A Coruña at GUA-SPA@IberLEF2023: Multi-Task Learning with Large Language Model Encoders for Guarani-Spanish Code Switching Analysis.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Assessment of Pre-Trained Models Across Languages and Grammars.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Another Dead End for Morphological Tags? Perturbed Inputs and Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Parsing linearizations appreciate PoS tags - but some are fussy about errors.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Cross-lingual Inflection as a Data Augmentation Method for Parsing.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021


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