An integrated discriminative probabilistic approach to information extraction

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 325-334

  Yu, Xiaofeng ^a   Lam, Wai ^a   Chen, Bo ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

First order logic; Information extraction; Probabilistic graphical models; Text mining

Indexed keywords

APPROXIMATE BAYESIAN INFERENCE; FIRST ORDER LOGIC; FIRST-ORDER; INFORMATION EXTRACTION; INTEGRATED MODELS; MARKOV CHAIN MONTE CARLO ALGORITHMS; MAXIMUM A POSTERIORI; NAMED ENTITIES; NAMED ENTITY RECOGNITION; PROBABILISTIC APPROACHES; PROBABILISTIC FRAMEWORK; PROBABILISTIC GRAPHICAL MODELS; REAL WORLD DOMAIN; RELATION EXTRACTION; SEQUENCE DATA; SUB-STRUCTURES; TEXT MINING; UNCERTAINTY MODELING;

BAYESIAN NETWORKS; FEATURE EXTRACTION; GRAPHIC METHODS; INFERENCE ENGINES; INFORMATION ANALYSIS; KNOWLEDGE MANAGEMENT; KNOWLEDGE REPRESENTATION; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS;

PROBABILISTIC LOGICS;

EID: 74549125860     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1645997     Document Type: Conference Paper

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