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Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction
The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCr...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962668/ https://www.ncbi.nlm.nih.gov/pubmed/27630201 http://dx.doi.org/10.1093/database/baw102 |
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