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Volumn 6, Issue , 2010, Pages 292-296

Semantic relatedness based on searching engines

Author keywords

Algorithm; Semantic relatedness; Semantic similarity; Web search

Indexed keywords

CALCULATION METHODS; NATURAL LANGUAGE PROCESSING; PART OF SPEECH; SEARCHING ENGINE; SEMANTIC RELATEDNESS; SEMANTIC SIMILARITY; WEB PAGE; WEB SEARCHES; WORDNET;

EID: 77958604124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2010.5563873     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 4
    • 85046835829 scopus 로고    scopus 로고
    • Automatically creating datasets for measures of semantic relatedness
    • Sydney, July
    • Torsten Zesch, Iryna Gurevych. Automatically creating datasets for measures of semantic relatedness. In: Proceedings of the Workshop on Linguistic Distances, pages 16-24, Sydney, July 2006.
    • (2006) Proceedings of the Workshop on Linguistic Distances , pp. 16-24
    • Zesch, T.1    Gurevych, I.2
  • 5
    • 0012992939 scopus 로고    scopus 로고
    • Lexical chains as representations of context for the detection and correction of malapropisms
    • C. Fellbaum (Ed.), MIT Press
    • G. Hirst, D. St-Onge, Lexical chains as representations of context for the detection and correction of malapropisms, in: C. Fellbaum (Ed.), WordNet: An electronic lexical database, MIT Press, 1998, pp. 305- 332.
    • (1998) WordNet: An Electronic Lexical Database , pp. 305-332
    • Hirst, G.1    St-Onge, D.2
  • 8
    • 85050285247 scopus 로고
    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine code from an ice cream cone
    • ACM Press
    • M. Lesk, Automatic sense disambiguation using machine readable dictionaries: how to tell a pine code from an ice cream cone, in: Proceedings of the 5th annual international conference on Systems documentation, ACM Press, 1986, pp. 24-26.
    • (1986) Proceedings of the 5th Annual International Conference on Systems Documentation , pp. 24-26
    • Lesk, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.