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Volumn , Issue , 2012, Pages 1081-1092

Building a lightweight semantic model for unsupervised information extraction on short listings

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIED ADS; EXTRACT INFORMATIONS; KEY FEATURE; MULTIPLE DOMAINS; SEMANTIC MODEL; UNSUPERVISED INFORMATION EXTRACTIONS;

EID: 84883425059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (24)
  • 8
    • 33847699835 scopus 로고    scopus 로고
    • Text mining for product attribute extraction
    • June
    • Rayid Ghani, Katharina Probst, Yan Liu, Marko Krema, and Andrew Fano. 2006. Text mining for product attribute extraction. SIGKDD Explor. Newsl., 8(1):41-48, June.
    • (2006) SIGKDD Explor. Newsl. , vol.8 , Issue.1 , pp. 41-48
    • Ghani, R.1    Probst, K.2    Liu, Y.3    Krema, M.4    Fano, A.5
  • 15
    • 77957887230 scopus 로고    scopus 로고
    • Exploiting background knowledge to build reference sets for information extraction
    • San Francisco, CA, USA. Morgan Kaufmann Publishers Inc
    • Matthew Michelson and Craig A. Knoblock. 2009. Exploiting background knowledge to build reference sets for information extraction. In Proceedings of the 21st international jont conference on Artifical intelligence, IJCAI'09, pages 2076-2082, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
    • (2009) Proceedings of the 21st International Jont Conference on Artifical Intelligence, IJCAI'09 , pp. 2076-2082
    • Michelson, M.1    Knoblock, C.A.2
  • 18
    • 80053254065 scopus 로고    scopus 로고
    • Bootstrapped named entity recognition for product attribute extraction
    • (Pew) Stroudsburg, PA, USA. Association for Computational Linguistics
    • Duangmanee (Pew) Putthividhya and Junling Hu. 2011. Bootstrapped named entity recognition for product attribute extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11, pages 1557-1567, Stroudsburg, PA, USA. Association for Computational Linguistics.
    • (2011) Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '11 , pp. 1557-1567
    • Putthividhya, D.1    Hu, J.2
  • 20
    • 34047192804 scopus 로고    scopus 로고
    • Semi-Markov conditional random fields for information extraction
    • Sunita Sarawagi and William W. Cohen. 2004. Semi-markov conditional random fields for information extraction. In In Advances in Neural Information Processing Systems 17, pages 1185-1192.
    • (2004) Advances in Neural Information Processing Systems , vol.17 , pp. 1185-1192
    • Sarawagi, S.1    Cohen, W.W.2
  • 23
    • 77952700189 scopus 로고    scopus 로고
    • From frequency to meaning: Vector space models of semantics
    • January
    • Peter D. Turney and Patrick Pantel. 2010. From frequency to meaning: vector space models of semantics. J. Artif. Int. Res., 37(1):141-188, January.
    • (2010) J. Artif. Int. Res. , vol.37 , Issue.1 , pp. 141-188
    • Turney, P.D.1    Pantel, P.2
  • 24
    • 0008976521 scopus 로고
    • String comparator metrics and enhanced decision rules in the fellegi-sunter model of record linkage
    • William E. Winkler. 1990. String comparator metrics and enhanced decision rules in the fellegi-sunter model of record linkage. In Proceedings of the Section on Survey Research, pages 354-359.
    • (1990) Proceedings of the Section on Survey Research , pp. 354-359
    • Winkler, W.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.