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Volumn , Issue , 2015, Pages 441-451

Active learning with rationales for text classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; SUPPORT VECTOR MACHINES;

EID: 84959878402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1047     Document Type: Conference Paper
Times cited : (30)

References (30)
  • 12
    • 84867858853 scopus 로고    scopus 로고
    • Attributes for classifier feedback
    • Springer
    • Amar Parkash and Devi Parikh. 2012. Attributes for classifier feedback. In Computer Vision-ECCV 2012, pages 354-368. Springer.
    • (2012) Computer Vision-ECCV , vol.2012 , pp. 354-368
    • Parkash, A.1    Parikh, D.2
  • 16
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • Nicholas Roy and Andrew McCallum. 2001. Toward optimal active learning through sampling estimation of error reduction. In International Conference on Machine Learning, pages 441-448.
    • (2001) International Conference on Machine Learning , pp. 441-448
    • Roy, N.1    McCallum, A.2
  • 25
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Simon Tong and Daphne Koller. 2001. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:45-66.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 26
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • Geoffrey G Towell and Jude W Shavlik. 1994. Knowledge-based artificial neural networks. Artificial intelligence, 70(1):119-165.
    • (1994) Artificial Intelligence , vol.70 , Issue.1 , pp. 119-165
    • Towell, G.G.1    Shavlik, J.W.2
  • 28
    • 77957858975 scopus 로고    scopus 로고
    • Using " annotator rationales" to improve machine learning for text categorization
    • Omar Zaidan, Jason Eisner, and Christine D Piatko. 2007. Using" annotator rationales" to improve machine learning for text categorization. In HLT-NAACL, pages 260-267.
    • (2007) HLT-NAACL , pp. 260-267
    • Zaidan, O.1    Eisner, J.2    Piatko, C.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.