author = "Vázquez, M." > : "ChemNLP" (x)
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Encontrado 2 documentos, página mostrada 1 de 1

CHEMDNER: The drugs and chemical names extraction challenge

Description: Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or chemical text mining) are key to improve the access and integration of information from unstructured data such as patents or the scientific literature. Therefore, the BioCreative organizers posed the C...
Language(s): Inglés

The CHEMDNER corpus of chemicals and drugs and its annotation principles

Description: The automatic extraction of chemical information from text requires the recognition of chemical entity mentions as one of its key steps. When developing supervised named entity recognition (NER) systems, the availability of a large, manually annotated text corpus is desirable. Furthermore, large cor...
Language(s): Inglés
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Encontrado 2 documentos, página mostrada 1 de 1

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