Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations

BACKGROUND: Chemical and biomedical Named Entity Recognition (NER) is an essential prerequisite task before effective text mining can begin for biochemical-text data. Exploiting unlabeled text data to leverage system performance has been an active and challenging research topic in text mining due to...

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Détails bibliographiques
Publié dans:J Cheminform
Auteurs principaux: Munkhdalai, Tsendsuren, Li, Meijing, Batsuren, Khuyagbaatar, Park, Hyeon Ah, Choi, Nak Hyeon, Ryu, Keun Ho
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2015
Sujets:
Research
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4331699/
https://ncbi.nlm.nih.gov/pubmed/25810780
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S9
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