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Volumn , Issue , 2008, Pages 735-736

Exploring question subjectivity prediction in community QA

Author keywords

Question classification; Subjectivity analysis

Indexed keywords

COMMUNITY QUESTION ANSWERING; QUESTION CLASSIFICATION; SUBJECTIVITY ANALYSIS;

EID: 57349175885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390477     Document Type: Conference Paper
Times cited : (52)

References (4)
  • 1
    • 85125365322 scopus 로고    scopus 로고
    • Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
    • Yu, H., and Hatzivassiloglou, V. Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences. In proceedings of EMNLP, 2003.
    • (2003) proceedings of EMNLP
    • Yu, H.1    Hatzivassiloglou, V.2
  • 2
    • 84893388959 scopus 로고    scopus 로고
    • QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News
    • Somasundaran, S., Wilson, T., Wiebe, J., and Stoyanov, V. QA with Attitude: Exploiting Opinion Type Analysis for Improving Question Answering in On-line Discussions and the News. In proceedings of 'ICWSM, 2007.
    • (2007) proceedings of 'ICWSM
    • Somasundaran, S.1    Wilson, T.2    Wiebe, J.3    Stoyanov, V.4
  • 3
    • 1542377488 scopus 로고    scopus 로고
    • Question Classification Using Support Vector Machines
    • Zhang, D., and Lee, W.S. Question Classification Using Support Vector Machines. In proceedings of SIGIR, 2003.
    • (2003) proceedings of SIGIR
    • Zhang, D.1    Lee, W.S.2
  • 4
    • 85141280473 scopus 로고    scopus 로고
    • A Sentimental Education: Sentiment Analysis Using Subjective Summarization Based on Minimum Cuts
    • Pang, B., and Lee, L. A Sentimental Education: Sentiment Analysis Using Subjective Summarization Based on Minimum Cuts. In proceedings of ACL, 2004.
    • (2004) proceedings of ACL
    • Pang, B.1    Lee, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.