Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text

WS 2019 Renzo RiveraPaloma Mart{\'\i}nez

In this work, we introduce a Deep Learning architecture for pharmaceutical and chemical Named Entity Recognition in Spanish clinical cases texts. We propose a hybrid model approach based on two Bidirectional Long Short-Term Memory (Bi-LSTM) network and Conditional Random Field (CRF) network using character, word, concept and sense embeddings to deal with the extraction of semantic, syntactic and morphological features... (read more)

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