Learning to refine an automatically extracted knowledge base using Markov logic

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2012, Pages 912-917

  Jiang, Shangpu ^a   Lowd, Daniel ^a   Dou, Dejing ^a  

^a UNIVERSITY OF OREGON   (United States)

Author keywords

Information extraction; Knowledge base; Markov logic; Ontology; Text mining

Indexed keywords

AD-HOC HEURISTICS; AMOUNT OF INFORMATION; CONFIDENCE SCORE; CONFIDENCE VALUES; GROUNDING METHODS; INDIVIDUAL EXTRACTIONS; INFORMATION EXTRACTION; JOINT PROBABILISTIC; KNOWLEDGE BASE; KNOWLEDGE BASIS; LABELED DATA; MARKOV LOGIC; ONTOLOGICAL CONSTRAINTS; ORIGINAL SYSTEMS; SCALABLE SYSTEMS; SYSTEM USE; TEXT MINING;

INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; MARKOV PROCESSES; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY;

DATA MINING;

EID: 84874101707     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.156     Document Type: Conference Paper

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