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Volumn , Issue , 2005, Pages 121-128

Using names and topics for new event detection

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SERVICES; VECTOR SPACES;

EID: 80053262469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220575.1220591     Document Type: Conference Paper
Times cited : (50)

References (21)
  • 4
    • 0032632354 scopus 로고    scopus 로고
    • An algorithm that learns what's in a name
    • Daniel M. Bikel, Richard L. Schwartz, and Ralph M. Weischedel. 1999. An algorithm that learns what's in a name. Machine Learning, 34(1-3):211-231.
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 211-231
    • Bikel, D.M.1    Schwartz, R.L.2    Weischedel, R.M.3
  • 8
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Christopher J. C. Burges. 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 10
    • 52349095370 scopus 로고    scopus 로고
    • Optimizing story link detection is not equivalent to optimizing new event detection
    • Ayman Farahat, Francine Chen, and Thorsten Brants. 2003. Optimizing story link detection is not equivalent to optimizing new event detection. In ACL, pages 232-239.
    • (2003) ACL , pp. 232-239
    • Farahat, A.1    Chen, F.2    Brants, T.3
  • 12
  • 14
    • 3843096047 scopus 로고    scopus 로고
    • Simple semantics in Topic Detection and Tracking
    • Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi. 2004. Simple semantics in topic detection and tracking. Information Retrieval, 7(3-4):347-368. (Pubitemid 39046502)
    • (2004) Information Retrieval , vol.7 , Issue.3-4 , pp. 347-368
    • Makkonen, J.1    Ahonen-Myka, H.2    Salmenkivi, M.3
  • 17
    • 0034795524 scopus 로고    scopus 로고
    • Combining semantic and syntactic document classifiers to improve first story detection
    • Nicola Stokes and Joe Carthy. 2001. Combining semantic and syntactic document classifiers to improve first story detection. In Proceedings of the 24th Annual International ACM SIGIR Conference, pages 424-425, New York, NY, USA. ACM Press. (Pubitemid 32951113)
    • (2001) SIGIR Forum (ACM Special Interest Group on Information Retrieval) , pp. 424-425
    • Stokes, N.1    Carthy, J.2
  • 21
    • 84898950747 scopus 로고    scopus 로고
    • A probabilistic model for online document clustering with application to novelty detection
    • Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, MIT Press, Cambridge, MA
    • Jian Zhang, Zoubin Ghahramani, and Yiming Yang. 2005. A probabilistic model for online document clustering with application to novelty detection. In Lawrence K. Saul, Yair Weiss, and Léon Bottou, editors, Advances in Neural Information Processing Systems 17, pages 1617-1624. MIT Press, Cambridge, MA.
    • (2005) Advances in Neural Information Processing Systems , vol.17 , pp. 1617-1624
    • Zhang, J.1    Ghahramani, Z.2    Yang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.