RESLVE: Leveraging user interest to improve entity disambigution on short text

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

Volumn , Issue , 2013, Pages 1275-1283

  Murnane, Elizabeth L ^a   Haslhofer, Bernhard ^a   Lagoze, Carl ^b  

^a Social Dynamics Laboratory   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Entity resolution; Personalized IR; Semantic knowledge graph; Social web; User interest modeling

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB; SEMANTICS; USER PROFILE;

ENTITY RESOLUTIONS; KNOWLEDGE GRAPHS; NAMED ENTITY DISAMBIGUATIONS; PERSONALIZED IR; SEMANTIC KNOWLEDGE GRAPH; SEMANTICS KNOWLEDGE; SHORT TEXTS; SOCIAL WEBS; USER-INTEREST MODELS; USERS' INTERESTS;

KNOWLEDGE GRAPH;

EID: 84893101000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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