Intrinsic evaluation of text mining tools may not predict performance on realistic tasks

Pacific Symposium on Biocomputing 2008, PSB 2008

Volumn , Issue , 2008, Pages 640-651

  Caporaso, J Gregory ^a   Deshpande, Nita ^b   Fink, J Lynn ^c   Bourne, Philip E ^c   Cohen, K Bretonnel ^a   Hunter, Lawrence ^a  

^a UNIVERSITY OF COLORADO   (United States)

^b PrescientSoft Inc   (United States)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED TECHNIQUES; AUTOMATIC ANNOTATION; BIOMEDICAL TEXT MININGS; DATABASE ANNOTATION; GOLD STANDARDS; JOURNAL ARTICLES; PROTEIN DATA BANK; TEXT MINING;

DATA MINING; DATABASE SYSTEMS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

PROTEIN;

ARTICLE; BIOLOGY; EVALUATION; FACTUAL DATABASE; GENETICS; INFORMATION RETRIEVAL; MUTATION; PROTEIN DATABASE; SEQUENCE ALIGNMENT; STATISTICS;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DATABASES, PROTEIN; INFORMATION STORAGE AND RETRIEVAL; MUTATION; PROTEINS; SEQUENCE ALIGNMENT;

EID: 40549141170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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