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Named entity recognition (ner) methods address the challenge of extracting pertinent information from unstructured text. The aim of this study was to outline the current ner methods and. As main results, our models are superior across the ner tasks,.
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Our architecture combines a spanish language bert model with a neural network layer for sequence classification. We used a word embedding model generated from scientific. We review the contributions of 17 corpora focused mainly in clinical tasks, then list the most relevant spanish language models and spanish clinical language models. Apr 1, 2020 · in the paper, we show how ner model detects pharmacological substances, compounds, and proteins in the dataset obtained from the spanish clinical case corpus.
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