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Volumn , Issue , 2013, Pages 86-89

An ordered relatedness metric for relevance identification

Author keywords

Review relevance identification; Semantic relatedness; WordNet

Indexed keywords


EID: 84893964515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2013.23     Document Type: Conference Paper
Times cited : (2)

References (17)
  • 4
    • 84855795324 scopus 로고    scopus 로고
    • Determining degree of relevance of reviews using a graph-based text representation
    • L. Ramachandran and E. F. Gehringer, "Determining degree of relevance of reviews using a graph-based text representation." in ICTAI. IEEE, 2011, pp. 442-445.
    • (2011) ICTAI. IEEE , pp. 442-445
    • Ramachandran, L.1    Gehringer, E.F.2
  • 11
    • 84863873032 scopus 로고
    • Contextual correlates of synonymy
    • Oct
    • H. Rubenstein and J. B. Goodenough, "Contextual correlates of synonymy," Commun. ACM, vol. 8, no. 10, pp. 627-633, Oct. 1965.
    • (1965) Commun. ACM , vol.8 , Issue.10 , pp. 627-633
    • Rubenstein, H.1    Goodenough, J.B.2
  • 12
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and wordnet similarity for word sense identification
    • C. Leacock and M. Chodorow, "Combining local context and wordnet similarity for word sense identification," WordNet: An electronic lexical database, vol. 49, no. 2, pp. 265-283, 1998.
    • (1998) WordNet: An Electronic Lexical Database , vol.49 , Issue.2 , pp. 265-283
    • Leacock, C.1    Chodorow, M.2
  • 13
    • 85050285247 scopus 로고
    • Automatic sense disambiguation using machine readable dictionaries:How to tell a pine cone from an ice cream cone
    • M. Lesk, "Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone," in Proceedings of the 5th annual international conference on Systems documentation, 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.