Search Results for author: Pedro Ruas

Found 2 papers, 0 papers with code

Lasige-BioTM at ProfNER: BiLSTM-CRF and contextual Spanish embeddings for Named Entity Recognition and Tweet Binary Classification

no code implementations NAACL (SMM4H) 2021 Pedro Ruas, Vitor Andrade, Francisco Couto

The paper describes the participation of the Lasige-BioTM team at sub-tracks A and B of ProfNER, which was based on: i) a BiLSTM-CRF model that leverages contextual and classical word embeddings to recognize and classify the mentions, and ii) on a rule-based module to classify tweets.

Named Entity Recognition Word Embeddings

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