CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese
Elisa Terumi Rubel Schneider,
Yohan Bonescki Gumiel,
João Vitor Andrioli de Souza
et al.
Abstract:Contextual word embeddings and the Transformers architecture have reached state-of-the-art results in many natural language processing (NLP) tasks and improved the adaptation of models for multiple domains. Despite the improvement in the reuse and construction of models, few resources are still developed for the Portuguese language, especially in the health domain. Furthermore, the clinical models available for the language are not representative enough for all medical specialties. This work explores deep cont… Show more
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