ClusType: Effective entity recognition and typing by relation phrase-based clustering

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn 2015-August, Issue , 2015, Pages 995-1004

  Ren, Xiang ^a   El Kishky, Ahmed ^a   Wang, Chi ^b   Tao, Fangbo ^a   Voss, Clare R ^c   Ji, Heng ^d   Han, Jiawei ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MICROSOFT RESEARCH   (United States)

^c RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^d U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

Entity recognition and typing; Relation phrase clustering

Indexed keywords

CHARACTER RECOGNITION; OPTIMIZATION;

BASED CLUSTERING; EMERGING DOMAINS; ENTITY DETECTION; ENTITY RECOGNITION; JOINT OPTIMIZATION; RELATION PHRASE CLUSTERING; RESEARCH PROBLEMS; TYPE INFORMATION;

DATA MINING;

EID: 84954097569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2783258.2783362     Document Type: Conference Paper

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