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Volumn , Issue , 2006, Pages 85-93

Exploiting discourse structure for spoken dialogue performance analysis

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT INFORMATION; DISCOURSE STRUCTURE; PERFORMANCE ANALYSIS; PERFORMANCE MODEL; SPOKEN DIALOGUE;

EID: 80053360073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1610075.1610089     Document Type: Conference Paper
Times cited : (11)

References (23)
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  • 5
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    • Using bigrams to identify relationships between student certainness states and tutor responses in a spoken dialogue corpus
    • K. Forbes-Riley and D. Litman. 2005. Using Bigrams to Identify Relationships Between Student Certainness States and Tutor Responses in a Spoken Dialogue Corpus. In Proc. of SIGdial.
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    • Forbes-Riley, K.1    Litman, D.2
  • 6
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    • Modelling user satisfaction and student learning in a spoken dialogue tutoring system with generic, tutoring, and user affect parameters
    • K. Forbes-Riley and D. Litman. 2006. Modelling User Satisfaction and Student Learning in a Spoken Dialogue Tutoring System with Generic, Tutoring, and User Affect Parameters. In Proc. of HLT/NAACL.
    • (2006) Proc. of HLT/NAACL
    • Forbes-Riley, K.1    Litman, D.2
  • 7
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    • Gabsdil, M.1    Lemon, O.2
  • 8
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    • Grosz, B.1    Sidner, C.L.2
  • 10
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    • A prosodic analysis of discourse segments in direction-giving monologues
    • J. Hirschberg and C. Nakatani. 1996. A prosodic analysis of discourse segments in direction-giving monologues. In Proc. of ACL.
    • (1996) Proc. of ACL
    • Hirschberg, J.1    Nakatani, C.2
  • 11
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    • Automated discourse generation using discourse structure relations
    • Special Issue on NLP
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  • 12
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    • Prosodic cues to discourse segment boundaries in human-computer dialogue
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    • Litman, D.1    Silliman, S.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.