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Volumn , Issue , 2014, Pages 263-272

The second dialog state tracking challenge

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE TRACKING; DIALOG SYSTEMS; ENSEMBLE LEARNING; KEEP TRACK OF; MISMATCHED CONDITIONS; RESEARCH GROUPS; SPOKEN DIALOG SYSTEMS; STATE TRACKING;

EID: 84987971127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/w14-4337     Document Type: Conference Paper
Times cited : (678)

References (11)
  • 4
    • 84987870680 scopus 로고    scopus 로고
    • Recipe for building robust spoken dialog state trackers: Dialog state tracking challenge system description
    • Sungjin Lee and Maxine Eskenazi. 2013. Recipe for building robust spoken dialog state trackers: Dialog state tracking challenge system description. In Proceedings of the SIGDIAL 2013 Conference.
    • (2013) Proceedings of the SIGDIAL 2013 Conference
    • Lee, S.1    Eskenazi, M.2
  • 7
    • 84905246040 scopus 로고    scopus 로고
    • Semantic parsing using word confusion networks with conditional random fields
    • Gökhan Tür, Anoop Deoras, and Dilek Hakkani-Tür. 2013. Semantic parsing using word confusion networks with conditional random fields. In INTERSPEECH.
    • (2013) INTERSPEECH
    • Tür, G.1    Deoras, A.2    Hakkani-Tür, D.3
  • 8
    • 84987916141 scopus 로고    scopus 로고
    • A simple and generic belief tracking mechanism for the dialog state tracking challenge: On the believability of observed information
    • Zhuoran Wang and Oliver Lemon. 2013. A simple and generic belief tracking mechanism for the dialog state tracking challenge: On the believability of observed information. In Proceedings of the SIGDIAL 2013 Conference.
    • (2013) Proceedings of the SIGDIAL 2013 Conference
    • Wang, Z.1    Lemon, O.2
  • 10
    • 0026692226 scopus 로고
    • Stacked generalization
    • David H. Wolpert. 1992. Stacked generalization. Neural Networks, 5:241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • David, H.1    Wolpert2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.