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Volumn , Issue , 2011, Pages 168-174

Towards a Unified Approach for Opinion Question Answering and Summarization

Author keywords

[No Author keywords available]

Indexed keywords

OPINION MINING; PERFORMANCE; PILOT TASKS; QUESTION ANSWERING; STATE OF THE ART; TEXT SUMMARISATION; THREE-COMPONENT; UNIFIED APPROACH;

EID: 84885335587     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 3
    • 85121842093 scopus 로고    scopus 로고
    • Exploiting higher-level semantic information for the opinion-oriented summarization of blogs
    • A. Balahur, M. Kabadjov, and J. Steinberger. 2010. Exploiting higher-level semantic information for the opinion-oriented summarization of blogs. In Proceedings of CICLing'2010.
    • (2010) Proceedings of CICLing'2010
    • Balahur, A.1    Kabadjov, M.2    Steinberger, J.3
  • 5
    • 34548023171 scopus 로고    scopus 로고
    • SentiWordNet: A publicly available resource for opinion mining
    • A. Esuli and F. Sebastiani. 2006. SentiWordNet: A publicly available resource for opinion mining. In Proceedings of LREC.
    • (2006) Proceedings of LREC
    • Esuli, A.1    Sebastiani, F.2
  • 9
    • 70349878666 scopus 로고    scopus 로고
    • A gradual combination of features for building automatic summarisation systems
    • Elena Lloret and Manuel Palomar. 2009. A gradual combination of features for building automatic summarisation systems. In Proceedings of TSD, pages 16-23.
    • (2009) Proceedings of TSD , pp. 16-23
    • Lloret, Elena1    Palomar, Manuel2
  • 17
    • 85125365322 scopus 로고    scopus 로고
    • Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
    • D. Yu and V. Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Proceedings of EMNLP.
    • (2003) Proceedings of EMNLP
    • Yu, D.1    Hatzivassiloglou, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.