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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the SIGDIAL 2009 Conference
ホスト出版物のサブタイトル10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
出版社Association for Computational Linguistics (ACL)
ページ314-321
ページ数8
ISBN(印刷版)9781932432640
DOI
出版ステータスPublished - 2009
外部発表はい
イベント10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009 - London, United Kingdom
継続期間: 2009 9 112009 9 12

出版物シリーズ

名前Proceedings 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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