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Volumn 1, Issue , 2011, Pages 1375-1384

Local and global algorithms for disambiguation to Wikipedia

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT SENSITIVE; FUNDAMENTAL PROBLEM; GLOBAL ALGORITHMS; LINK STRUCTURE; NATURAL LANGUAGE PROCESSING; ONLINE ENCYCLOPEDIA; WIKIPEDIA; WORD SENSE DISAMBIGUATION;

EID: 84859042430     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (625)

References (18)
  • 6
    • 78651341459 scopus 로고    scopus 로고
    • Tagme: On-thefly annotation of short text fragments (by wikipedia entities)
    • Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, and Aijun An, editors. ACM
    • Paolo Ferragina and Ugo Scaiella. 2010. Tagme: on-thefly annotation of short text fragments (by wikipedia entities). In Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, and Aijun An, editors, Proceedings of the 19th ACM conference on Information and knowledge management, pages 1625-1628. ACM.
    • (2010) Proceedings of the 19th ACM Conference on Information and Knowledge Management , pp. 1625-1628
    • Ferragina, P.1    Scaiella, U.2
  • 8
    • 84880915872 scopus 로고    scopus 로고
    • Computing semantic relatedness using wikipediabased explicit semantic analysis
    • San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
    • Evgeniy Gabrilovich and Shaul Markovitch. 2007a. Computing semantic relatedness using wikipediabased explicit semantic analysis. In Proceedings of the 20th international joint conference on Artifical intelligence, pages 1606-1611, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
    • (2007) Proceedings of the 20th International Joint Conference on Artifical Intelligence , pp. 1606-1611
    • Gabrilovich, E.1    Markovitch, S.2
  • 9
    • 35748946646 scopus 로고    scopus 로고
    • Harnessing the expertise of 70,000 human editors: Knowledge-based feature generation for text categorization
    • Evgeniy Gabrilovich and Shaul Markovitch. 2007b. Harnessing the expertise of 70,000 human editors: Knowledge-based feature generation for text categorization. J. Mach. Learn. Res., 8:2297-2345, December. (Pubitemid 350046196)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 2297-2345
    • Gabrilovich, E.1    Markovitch, S.2
  • 11
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the rocchio algorithm with tfidf for text categorization
    • San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
    • Thorsten Joachims. 1997. A probabilistic analysis of the rocchio algorithm with tfidf for text categorization. In Proceedings of the Fourteenth International Conference on Machine Learning, ICML '97, pages 143-151, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
    • (1997) Proceedings of the Fourteenth International Conference on Machine Learning, ICML '97 , pp. 143-151
    • Joachims, T.1
  • 15
    • 70449817161 scopus 로고    scopus 로고
    • An effective, low-cost measure of semantic relatedness obtained from wikipedia links
    • David Milne and Ian H. Witten. 2008a. An effective, low-cost measure of semantic relatedness obtained from wikipedia links. In In the Wikipedia and AI Workshop of AAAI.
    • (2008) The Wikipedia and AI Workshop of AAAI
    • Milne, D.1    Witten, I.H.2
  • 17
    • 33750738051 scopus 로고    scopus 로고
    • WikiRelate! Computing semantic relatedness using wikipedia
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • Michael Strube and Simone Paolo Ponzetto. 2006. Wikirelate! computing semantic relatedness using wikipedia. In proceedings of the 21st national conference on Artificial intelligence - Volume 2, pages 1419-1424. AAAI Press. (Pubitemid 44705473)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1419-1424
    • Strube, M.1    Ponzetto, S.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.