How to make the most of NE dictionaries in statistical NER

BMC Bioinformatics

Volumn 9, Issue SUPPL. 11, 2008, Pages

  Sasaki, Yutaka ^a   Tsuruoka, Yoshimasa ^a   McNaught, John ^a   Ananiadou, Sophia ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; IDEAL SOLUTIONS; NAMED ENTITIES; NAMED ENTITY RECOGNITION; PART OF SPEECH TAGGING; POS TAGGERS; PROTEIN NAMES; TRAINING DATA;

PROTEINS;

STATISTICS;

BIOINFORMATICS; COMPUTER MODEL; CONFERENCE PAPER; MEDICAL INFORMATION SYSTEM; NAMED ENTITY RECOGNITION; NOMENCLATURE; PERFORMANCE MEASUREMENT SYSTEM; PROTEIN ANALYSIS; STATISTICS; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; BOOK; METHODOLOGY; ONLINE SYSTEM; PROTEOMICS; STATISTICAL MODEL;

NES;

COMPUTATIONAL BIOLOGY; DICTIONARIES AS TOPIC; MODELS, STATISTICAL; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; PROTEOMICS; TERMINOLOGY AS TOPIC;

EID: 56649105352     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-S11-S5     Document Type: Conference Paper

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