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Volumn , Issue , 2009, Pages 10-18

Integrating knowledge for subjectivity sense labeling

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN INFORMATIONS; HIERARCHICAL STRUCTURES; LEXICAL RESOURCES; SEMANTICALLY-RELATED WORDS; WORD SENSE; WORDNET;

EID: 83055179875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1620754.1620757     Document Type: Conference Paper
Times cited : (25)

References (24)
  • 3
    • 84937182157 scopus 로고    scopus 로고
    • Recognizing subjectivity: A case study of manual tagging
    • Rebecca Bruce and Janyce Wiebe. 1999. Recognizing subjectivity: A case study of manual tagging. Natural Language Engineering, 5(2):187-205.
    • (1999) Natural Language Engineering , vol.5 , Issue.2 , pp. 187-205
    • Bruce, R.1    Wiebe, J.2
  • 9
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Scholkopf, C. Burgess, and A. Smola, editors Cambridge, MA. MIT-Press
    • T. Joachims. 1999. Making large-scale SVM learning practical. In B. Scholkopf, C. Burgess, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, Cambridge, MA. MIT-Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 12
    • 85050285247 scopus 로고
    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone
    • Toronto, June
    • M.E. Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In Proceedings of the SIGDOC Conference 1986, Toronto, June.
    • (1986) Proceedings of the SIGDOC Conference 1986
    • Lesk, M.E.1
  • 13
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Barcelona, ES. Association for Computational Linguistics
    • Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the Annual Meeting of the Association for Computational Linguistics, pages 271-278, Barcelona, ES. Association for Computational Linguistics.
    • (2004) Proceedings of the Annual Meeting of the Association for Computational Linguistics , pp. 271-278
    • Pang, B.1    Lee, L.2
  • 20
    • 33646165662 scopus 로고    scopus 로고
    • Developing affective lexical resources
    • Alessandro Valitutti, Carlo Strapparava, and Oliviero Stock. 2004. Developing affective lexical resources. PsychNology Journal, 2(1):61-83.
    • (2004) PsychNology Journal , vol.2 , Issue.1 , pp. 61-83
    • Valitutti, A.1    Strapparava, C.2    Stock, O.3
  • 22
    • 24344443336 scopus 로고    scopus 로고
    • Creating subjective and objective sentence classifiers from unannotated texts
    • Computational Linguistics and Intelligent Text Processing - 6th International Conference, CICLing 2005
    • Janyce Wiebe and Ellen Riloff. 2005. Creating subjective and objective sentence classifiers from unan-notated texts. In Proceedings of the 6th International Conference on Intelligent Text Processing and Computational Linguistics, pages 486-497, Mexico City, Mexico. (Pubitemid 41251884)
    • (2005) Lecture Notes in Computer Science , vol.3406 , pp. 486-497
    • Wiebe, J.1    Riloff, E.2
  • 24
    • 85125365322 scopus 로고    scopus 로고
    • Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
    • Sapporo, Japan
    • Hong Yu and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Conference on Empirical Methods in Natural Language Processing, pages 129-136, Sapporo, Japan.
    • (2003) Conference on Empirical Methods in Natural Language Processing , pp. 129-136
    • Yu, H.1    Hatzivassiloglou, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.