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Volumn , Issue , 2009, Pages 55-60

Interactive annotation learning with indirect feature voting

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FEATURE SELECTION; BAG OF WORDS; ERROR PRONES; GENERAL GRAPH; GRAPH REPRESENTATION; LABELED DATA; LARGE AMOUNTS; LEARNING APPROACH; PERFORMANCE; SELECTION BASED;

EID: 84862292344     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (15)
  • 2
    • 57349122015 scopus 로고    scopus 로고
    • Learning from labeled features using generalized expectation criteria
    • Druck G., Mann G. and McCallum A. Learning from labeled features using generalized expectation criteria. In Proceedings of the ACM SIGIR, 2008.
    • (2008) Proceedings of the ACM SIGIR
    • Druck, G.1    Mann, G.2    McCallum, A.3
  • 3
    • 84872201395 scopus 로고    scopus 로고
    • Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis
    • 2005
    • Michael Gamon. 2004. Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis. In Proceedings of COLING, 2005.
    • (2004) Proceedings of COLING
    • Gamon, Michael1
  • 9
    • 85013202438 scopus 로고    scopus 로고
    • Evaluating Content Selection In Summarization: The Pyramid Method
    • Nenkova A. and Passonneau R. Evaluating Content Selection In Summarization: The Pyramid Method. In Proceedings of HLT-NAACL 2004.
    • (2004) Proceedings of HLT-NAACL
    • Nenkova, A.1    Passonneau, R.2
  • 10
    • 85141280473 scopus 로고    scopus 로고
    • A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
    • Pang B. and Lee L. “A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts” In Proceedings of the ACL, 2004.
    • (2004) Proceedings of the ACL
    • Pang, B.1    Lee, L.2
  • 13
    • 33645449328 scopus 로고    scopus 로고
    • Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger
    • Toutanova K. and Manning C. Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In Proceedings of EMNLP/VLC-2000.
    • Proceedings of EMNLP/VLC-2000
    • Toutanova, K.1    Manning, C.2
  • 14
    • 77957858975 scopus 로고    scopus 로고
    • Using”annotator rationales” to improve machine learning for text categorization
    • Zaidan O., Eisner J. and Piatko C. Using”annotator rationales” to improve machine learning for text categorization. In Proceedings of NAACL-HLT 2007.
    • (2007) Proceedings of NAACL-HLT
    • Zaidan, O.1    Eisner, J.2    Piatko, C.3
  • 15
    • 79958251080 scopus 로고    scopus 로고
    • Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    • Zaidan O. and Eisner J. Modeling Annotators: A Generative Approach to Learning from Annotator Rationales. In Proceedings of EMNLP 2008.
    • (2008) Proceedings of EMNLP
    • Zaidan, O.1    Eisner, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.