Toward computer-assisted text curation: Classification is easy (choosing training data can be hard...)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6004 LNBI, Issue , 2010, Pages 33-42

  Denroche, Robert ^a   Madupu, Ramana ^b   Yooseph, Shibu ^b   Sutton, Granger ^b   Shatkay, Hagit ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b J CRAIG VENTER INSTITUTE   (United States)

Author keywords

Biomedical text mining; Classification; Database curation; Imbalanced and sparse data; Text categorization

Indexed keywords

BIOMEDICAL TEXT; CLASSIFICATION METHODS; COMPUTER ASSISTED; CURATION; DATA SETS; PROTEIN CHARACTERIZATION; PUBLIC DATABASE; SCIENTIFIC ARTICLES; SMALL DATA SET; SPARSE DATA; TEXT CATEGORIZATION; TRAINING DATA;

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DATABASE SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; PROTEINS;

TEXT PROCESSING;

EID: 77953740821     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13131-8_5     Document Type: Conference Paper

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