메뉴 건너뛰기




Volumn , Issue , 2017, Pages 3386-3392

Active discriminative text representation learning

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL SYSTEMS; NEURAL NETWORKS; RANDOM PROCESSES; STOCHASTIC SYSTEMS;

EID: 85030450310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (153)

References (24)
  • 2
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • Blitzer, J.; Dredze, M.; Pereira, F.; et al. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, Volume 7, 440-447.
    • (2007) ACL , vol.7 , pp. 440-447
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 8
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Association for Computational Linguistics
    • Pang, B., and Lee, L. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd annual meeting on Association for Computational Linguistics, 271. Association for Computational Linguistics.
    • (2004) Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , pp. 271
    • Pang, B.1    Lee, L.2
  • 9
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • Association for Computational Linguistics
    • Pang, B., and Lee, L. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, 115-124. Association for Computational Linguistics.
    • (2005) Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , pp. 115-124
    • Pang, B.1    Lee, L.2
  • 11
  • 13
    • 68949137209 scopus 로고    scopus 로고
    • University of Wisconsin, Madison
    • Settles, B. 2010. Active learning literature survey. University of Wisconsin, Madison 52(55-66):11
    • (2010) Active Learning Literature Survey , vol.52 , Issue.55-66 , pp. 11
    • Settles, B.1
  • 16
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Tong, S., and Koller, D. 2001. Support vector machine active learning with applications to text classification. Journal of machine learning research 2(Nov):45-66.
    • (2001) Journal of Machine Learning Research , vol.2 , Issue.NOV , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 17
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Tong, S., and Koller, D. 2002. Support vector machine active learning with applications to text classification. The Journal of Machine Learning Research 2:45-66.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 24
    • 80053418274 scopus 로고    scopus 로고
    • Active learning with sampling by uncertainty and density for word sense disambiguation and text classification
    • Association for Computational Linguistics
    • Zhu, J.; Wang, H.; Yao, T.; and Tsou, B. K. 2008. Active learning with sampling by uncertainty and density for word sense disambiguation and text classification. In Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1, 1137-1144. Association for Computational Linguistics.
    • (2008) Proceedings of the 22nd International Conference on Computational Linguistics , vol.1 , pp. 1137-1144
    • Zhu, J.1    Wang, H.2    Yao, T.3    Tsou, B.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.