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ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
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In: Front Res Metr Anal (2021)
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Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings ...
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Spanish NER with word representations and conditional random fields
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Cross-Evaluation of entity linking and disambiguation systems for clinical text annotation
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