메뉴 건너뛰기




Volumn , Issue , 2006, Pages 53-56

Agreement/disagreement classification: Exploiting unlabeled data using contrast classifiers

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION);

EID: 85120003200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (10)
  • 2
    • 33646786916 scopus 로고    scopus 로고
    • Identifying agreement and disagreement in conversational speech: use of Bayesian networks to model dependencies
    • M. Galley, K. McKeown, J. Hirschberg, and E. Shriberg. 2004. Identifying agreement and disagreement in conversational speech: use of Bayesian networks to model dependencies. In Proc. ACL.
    • (2004) Proc. ACL.
    • Galley, M.1    McKeown, K.2    Hirschberg, J.3    Shriberg, E.4
  • 3
    • 0007950880 scopus 로고    scopus 로고
    • Enhancing supervised learning with unlabeled data
    • S. Goldman and Y. Zhou. 2000. Enhancing supervised learning with unlabeled data. In Proc. the 17th ICML, pages 327-334.
    • (2000) Proc. the 17th ICML , pp. 327-334
    • Goldman, S.1    Zhou, Y.2
  • 4
    • 85041444536 scopus 로고    scopus 로고
    • Detection of agreement vs. disagreement in meetings: training with unlabeled data
    • D. Hillard, M. Ostendorf, and E. Shriberg. 2003. Detection of agreement vs. disagreement in meetings: training with unlabeled data. In Proc. HLT-NAACL.
    • (2003) Proc. HLT-NAACL
    • Hillard, D.1    Ostendorf, M.2    Shriberg, E.3
  • 6
    • 0001938951 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • T. Joachims. 1999. Transductive inference for text classification using support vector machines. In Proc. ICML, pages 200-209.
    • (1999) Proc. ICML , pp. 200-209
    • Joachims, T.1
  • 8
    • 78149327484 scopus 로고    scopus 로고
    • Exploiting unlabeled data for improving accuracy of predictive data mining
    • K. Peng, S. Vucetic, B. Han, H. Xie, and Z. Obradovic. 2003. Exploiting unlabeled data for improving accuracy of predictive data mining. In ICDM, pages 267-274.
    • (2003) ICDM , pp. 267-274
    • Peng, K.1    Vucetic, S.2    Han, B.3    Xie, H.4    Obradovic, Z.5
  • 9
    • 2142727946 scopus 로고    scopus 로고
    • Limitations of co-training for natural language learning from large datasets
    • D. Pierce and C. Cardie. 2001. Limitations of co-training for natural language learning from large datasets. In Proc. EMNLP-2001).
    • (2001) Proc. EMNLP-2001)
    • Pierce, D.1    Cardie, C.2
  • 10
    • 85141919230 scopus 로고
    • Unsupervised word sense disambiguation rivaling supervised methods
    • D. Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proc. ACL, pages 189-196.
    • (1995) Proc. ACL , pp. 189-196
    • Yarowsky, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.