Ranking help message candidates based on robust grammar verification results and utterance history in spoken dialogue systems

Kazunori Komatani, Satoshi Ikeda, Yuichiro Fukubayashi, Tetsuya Ogata, Hiroshi G. Okuno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We address an issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages for novice users. Help generation for OOG utterances is a challenging problem because language understanding (LU) results based on automatic speech recognition (ASR) results for such utterances are always erroneous as important words are often misrecognized or missed from such utterances. We first develop grammar verification for OOG utterances on the basis of a Weighted Finite-State Transducer (WFST). It robustly identifies a grammar rule that a user intends to utter, even when some important words are missed from the ASR result. We then adopt a ranking algorithm, RankBoost, whose features include the grammar verification results and the utterance history representing the user's experience.

Original languageEnglish
Title of host publicationProceedings of the SIGDIAL 2009 Conference
Subtitle of host publication10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Pages314-321
Number of pages8
Publication statusPublished - 2009 Dec 1
Externally publishedYes
Event10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009 - London, United Kingdom
Duration: 2009 Sep 112009 Sep 12

Publication series

NameProceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Conference

Conference10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009
CountryUnited Kingdom
CityLondon
Period09/9/1109/9/12

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Modelling and Simulation

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  • Cite this

    Komatani, K., Ikeda, S., Fukubayashi, Y., Ogata, T., & Okuno, H. G. (2009). Ranking help message candidates based on robust grammar verification results and utterance history in spoken dialogue systems. In Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (pp. 314-321). (Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue).