Semi-supervised abstraction-augmented string kernel for multi-level bio-relation extraction

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

Volumn 6322 LNAI, Issue PART 2, 2010, Pages 128-144

  Kuksa, Pavel ^a   Qi, Yanjun ^b   Bai, Bing ^b   Collobert, Ronan ^b   Weston, Jason ^c   Pavlovic, Vladimir ^a   Ning, Xia ^d  

^a RUTGERS UNIVERSITY   (United States)

^b NEC LABORATORIES AMERICA   (United States)

^c GOOGLE INC   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Learning with auxiliary information; Relation extraction; Semi supervised string kernel; Sequence classification

Indexed keywords

AUXILIARY INFORMATION; BIO-ENTITIES; DATA SETS; LINGUISTIC FEATURES; MULTI-LEVEL; MULTIPLE LEVELS; RELATION EXTRACTION; SEMANTIC SIMILARITY; SEMI-SUPERVISED; SEQUENCE CLASSIFICATION; STRING COMPARISON; STRING KERNEL; SUBTASKS; TEXT MINING; UNIFIED FRAMEWORK; UNLABELED DATA;

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOFTWARE AGENTS;

ABSTRACTING;

EID: 78049354809     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15883-4_9     Document Type: Conference Paper

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