NaCTeM CTD Web Services
نویسندگان
چکیده
Participating in the BioCreative IV CTD Curation shared task, we developed RESTful, BioCcompliant web services which recognise CTD chemicals, genes, diseases and actions terms in PubMed abstracts. The tools are based on machine learning approaches, specifically, conditional random fields (CRFs) for recognising names of chemicals, genes and diseases, and support vector machines (SVMs) for recognising action terms.
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