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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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A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
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Chemical entity recognition in patents by combining dictionary-based and statistical approaches
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Extraction of chemical-induced diseases using prior knowledge and textual information
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The CHEMDNER corpus of chemicals and drugs and its annotation principles
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A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC ...
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A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
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BASE
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Creating Multilingual Gold Standard Corpora for Biomedical Concept Recognition ...
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