Chemical name extraction based on automatic training data generation and rich feature set

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 10, Issue 5, 2013, Pages 1218-1233

  Yan, Su ^a   Spangler, W Scott ^a   Chen, Ying ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

Chemical name extraction; conditional random fields; drug research; feature design; formal grammar; IUPAC names; patent analysis

Indexed keywords

DRUG;

ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CONTROLLED VOCABULARY; DRUG LABELING; INFORMATION RETRIEVAL; METHODOLOGY; NATURAL LANGUAGE PROCESSING; NOMENCLATURE;

ARTIFICIAL INTELLIGENCE; DRUG LABELING; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; PHARMACEUTICAL PREPARATIONS; TERMINOLOGY AS TOPIC; VOCABULARY, CONTROLLED;

EID: 84894478514     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2013.101     Document Type: Article

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