A graph-based approach to commonsense concept extraction and semantic similarity detection

WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Volumn , Issue , 2013, Pages 565-570

  Rajagopal, Dheeraj ^a   Cambria, Erik ^a   Olsher, Daniel ^a   Kwok, Kenneth ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Ai; Commonsense knowledge representation and reasoning; Natural language processing; Semantic similarity

Indexed keywords

DATA MINING; EXTRACTION; GRAPHIC METHODS; KNOWLEDGE REPRESENTATION; SEMANTICS;

AI; COMMONSENSE KNOWLEDGE; COMMONSENSE KNOWLEDGE REPRESENTATION AND REASONING; GRAPH-BASED; KNOWLEDGE REPRESENTATION AND REASONING; LANGUAGE PROCESSING; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; SEMANTIC SIMILARITY; SIMILARITY DETECTION;

SENTIMENT ANALYSIS;

EID: 84890636931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2487788.2487995     Document Type: Conference Paper

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