Samuel Caetano Silva


2023

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BERTabaporu: Assessing a Genre-Specific Language Model for Portuguese NLP
Pablo Botton Costa | Matheus Camasmie Pavan | Wesley Ramos Santos | Samuel Caetano Silva | Ivandré Paraboni
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing

Transformer-based language models such as Bidirectional Encoder Representations from Transformers (BERT) are now mainstream in the NLP field, but extensions to languages other than English, to new domains and/or to more specific text genres are still in demand. In this paper we introduced BERTabaporu, a BERT language model that has been pre-trained on Twitter data in the Brazilian Portuguese language. The model is shown to outperform the best-known general-purpose model for this language in three Twitter-related NLP tasks, making a potentially useful resource for Portuguese NLP in general.