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Volumn , Issue , 2005, Pages 371-378

Unsupervised learning of field segmentation models for information extraction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; INFORMATION RETRIEVAL; MACHINE LEARNING; SUPERVISED LEARNING;

EID: 84859881704     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1219840.1219886     Document Type: Conference Paper
Times cited : (61)

References (11)
  • 1
    • 85029434098 scopus 로고    scopus 로고
    • Catching the drift: Probabilistic content models, with applications to generation and summarization
    • R. Barzilay and L. Lee. 2004. Catching the drift: Probabilistic content models, with applications to generation and summarization. In Proceedings of HLT-NAACL 2004, pages 113-120.
    • (2004) Proceedings of HLT-NAACL 2004 , pp. 113-120
    • Barzilay, R.1    Lee, L.2
  • 3
    • 0001819680 scopus 로고    scopus 로고
    • TextTiling: Segmenting text into multi-paragraph subtopic passages
    • M. A. Hearst. 1997. TextTiling: Segmenting text into multiparagraph subtopic passages. Computational Linguistics, 23(1):33-64. (Pubitemid 127458657)
    • (1997) Computational Linguistics , vol.23 , Issue.1 , pp. 33-64
    • Hearst, M.A.1
  • 4
    • 84880652043 scopus 로고    scopus 로고
    • A machine learning approach to building domain-specific search engines
    • A. McCallum, K. Nigam, J. Rennie, and K. Seymore. 1999. A machine learning approach to building domain-specific search engines. In IJCAI-1999.
    • (1999) IJCAI-1999
    • McCallum, A.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 5
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy Markov models for information extraction and segmentation
    • Morgan Kaufmann, San Francisco, CA
    • A. McCallum, D. Freitag, and F. Pereira. 2000. Maximum entropy Markov models for information extraction and segmentation. In Proceedings of the 17th ICML, pages 591-598. Morgan Kaufmann, San Francisco, CA.
    • (2000) Proceedings of the 17th ICML , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 7
    • 78751517535 scopus 로고    scopus 로고
    • Accurate information extraction from research papers using Conditional Random Fields
    • F. Peng and A. McCallum. 2004. Accurate information extraction from research papers using Conditional Random Fields. In Proceedings of HLT-NAACL 2004.
    • (2004) Proceedings of HLT-NAACL 2004
    • Peng, F.1    McCallum, A.2
  • 9
    • 0024610919 scopus 로고
    • A tutorial on Hidden Markov Models and selected applications in speech recognition
    • L. R. Rabiner. 1989. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 11
    • 3543123067 scopus 로고    scopus 로고
    • Model-based hierarchical clustering
    • S. Vaithyanathan and B. Dom. 2000. Model-based hierarchical clustering. In UAI-2000.
    • (2000) UAI-2000
    • Vaithyanathan, S.1    Dom, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.