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Volumn , Issue , 2007, Pages 26-34

Detecting arguing and sentiment in meetings

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTION WORDS; STRUCTURE INFORMATION;

EID: 38349121575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (76)

References (23)
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    • The ISL meeting corpus: The impact of meeting type on speech style
    • S. Burger, V. MacLaren, and H. Yu. 2002. The ISL Meeting Corpus: The Impact of Meeting Type on Speech Style. In ICSLP 2002.
    • (2002) ICSLP 2002
    • Burger, S.1    MacLaren, V.2    Yu, H.3
  • 5
    • 69949121711 scopus 로고    scopus 로고
    • Representing real-life emotions in audiovisual data with non basic emotional patterns and context features
    • L. Devillers, S. Abrilian, and J.-C. Martin. 2005. Representing real-life emotions in audiovisual data with non basic emotional patterns and context features. In Proc. of ACII.
    • (2005) Proc. of ACII
    • Devillers, L.1    Abrilian, S.2    Martin, J.-C.3
  • 8
    • 84867618895 scopus 로고    scopus 로고
    • Identifying agreement and disagreement in conversational speech: Use of Bayesian networks to model pragmatic dependencies
    • M. Galley, K. McKeown, J. Hirschberg, and E. Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of bayesian networks to model pragmatic dependencies. In ACL.
    • (2004) ACL
    • Galley, M.1    McKeown, K.2    Hirschberg, J.3    Shriberg, E.4
  • 9
    • 84863419933 scopus 로고    scopus 로고
    • What decisions have you made: Automatic decision detection in conversational speech
    • P.-Y. Hsueh and J. Moore. 2007. What decisions have you made: Automatic decision detection in conversational speech. In NAACL/HLT 2007.
    • (2007) NAACL/HLT 2007
    • Hsueh, P.-Y.1    Moore, J.2
  • 10
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Scholkopf, C. Burgess, and A. Smola, editors 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. MIT-Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 11
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • R. Landis and G. Koch. 1977. The measurement of observer agreement for categorical data. In Biometrics, Vol. 33, No. 1.
    • (1977) Biometrics , vol.33 , Issue.1
    • Landis, R.1    Koch, G.2
  • 12
    • 85015588279 scopus 로고    scopus 로고
    • Sentiment analysis: Capturing favorability using natural language processing
    • T. Nasukawa and J. Yi. 2003. Sentiment analysis: Capturing favorability using natural language processing. In K-CAP 2003.
    • (2003) K-cap 2003
    • Nasukawa, T.1    Yi, J.2
  • 13
    • 37349083831 scopus 로고    scopus 로고
    • Detecting action items in multi-party meetings: Annotation and initial experiments
    • Springer-Verlag
    • M. Purver, P. Ehlen, and J. Niekrasz. 2006. Detecting action items in multi-party meetings: Annotation and initial experiments. In Machine Learning for Multimodal Interaction. Springer-Verlag.
    • (2006) Machine Learning for Multimodal Interaction
    • Purver, M.1    Ehlen, P.2    Niekrasz, J.3
  • 16
    • 84893388959 scopus 로고    scopus 로고
    • QA with attitude: Exploiting opinion type analysis for improving question answering in on-line discussions and the news
    • S. Somasundaran, T. Wilson, J. Wiebe, and V. Stoyanov. 2007. QA with attitude: Exploiting opinion type analysis for improving question answering in on-line discussions and the news. In Intl. Conference on Weblogs and Social Media.
    • (2007) Intl. Conference on Weblogs and Social Media
    • Somasundaran, S.1    Wilson, T.2    Wiebe, J.3    Stoyanov, V.4
  • 18
    • 80053357527 scopus 로고    scopus 로고
    • Get out the vote: Determining support or opposition from congressional floor-debate transcripts
    • M. Thomas, B. Pang, and L. Lee. 2006. Get out the vote: Determining support or opposition from Congressional floor-debate transcripts. In Proceedings of EMNLP, pages 327-335.
    • (2006) Proceedings of EMNLP , pp. 327-335
    • Thomas, M.1    Pang, B.2    Lee, L.3
  • 20
    • 32944457576 scopus 로고    scopus 로고
    • Instructions for annotating opinions in newspaper articles
    • University of Pittsburgh
    • J. Wiebe. 2002. Instructions for annotating opinions in newspaper articles. Dept. of Computer Science Technical Report TR-02-101, University of Pittsburgh.
    • (2002) Dept. of Computer Science Technical Report TR-02-101
    • Wiebe, J.1
  • 22
    • 80053247760 scopus 로고    scopus 로고
    • Recognizing contextual polarity in phrase-level sentiment analysis
    • T. Wilson, J. Wiebe, and P Hoffmann. 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In HLT/EMNLP 2005.
    • (2005) HLT/EMNLP 2005
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3
  • 23
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    • Spotting hotspots in meetings: Human judgments and prosodic cues
    • B. Wrede and E. Shriberg. 2003. Spotting hotspots in meetings: Human judgments and prosodic cues. In Eurospeech.
    • (2003) Eurospeech
    • Wrede, B.1    Shriberg, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.