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Volumn , Issue , 2009, Pages 2076-2082

Exploiting background knowledge to build reference sets for information extraction

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL;

EID: 77957887230     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 2
    • 31144459206 scopus 로고    scopus 로고
    • Learning concept hierarchies from text corpora using formal concept analysis
    • Philipp Cimiano, Andreas Hotho, and Steffen Staab. Learning concept hierarchies from text corpora using formal concept analysis. Journal of Artificial Intelligence Research, 24:305-339, 2005.
    • (2005) Journal of Artificial Intelligence Research , vol.24 , pp. 305-339
    • Cimiano, P.1    Hotho, A.2    Staab, S.3
  • 3
    • 84880859303 scopus 로고    scopus 로고
    • Adaptive information extraction from text by rule induction and generalisation
    • Fabio Ciravegna. Adaptive information extraction from text by rule induction and generalisation. In Proceedings of IJCAI, pages 1251-1256, 2001.
    • (2001) Proceedings of IJCAI , pp. 1251-1256
    • Ciravegna, F.1
  • 5
    • 80053380007 scopus 로고    scopus 로고
    • Unsupervised information extraction approach using graph mutual reinforcement
    • Hany Hassan, Ahmed Hassan, and Ossama Emam. Unsupervised information extraction approach using graph mutual reinforcement. In Proceedings of EMNLP, pages 501-508, 2006.
    • (2006) Proceedings of EMNLP , pp. 501-508
    • Hassan, H.1    Hassan, A.2    Emam, O.3
  • 6
  • 7
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • John Lafferty, Andrew McCallum, and Fernando Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, pages 282-289, 2001.
    • (2001) Proceedings of ICML , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 12
    • 33750687858 scopus 로고    scopus 로고
    • Organizing and searching the world wide web of facts - Step one: The one-million fact extraction challenge
    • Marius Paşca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, and Alpa Jain. Organizing and searching the world wide web of facts - step one: the one-million fact extraction challenge. In Proceedings of AAAI, pages 1400-1405, 2006.
    • (2006) Proceedings of AAAI , pp. 1400-1405
    • Paşca, M.1    Lin, D.2    Bigham, J.3    Lifchits, A.4    Jain, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.