Embedded wizardry

Rebecca J. Passonneau, Susan L. Epstein, Tiziana Ligorio, Joshua Gordon

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

4 Scopus citations

Abstract

This paper presents a progressively challenging series of experiments that investigate clarification subdialogues to resolve the words in noisy transcriptions of user utterances. We focus on user utterances where the user's specific intent requires little additional inference, given sufficient understanding of the form. We learned decision-making strategies for a dialogue manager from run-time features of our spoken dialogue system and from observation of human wizards we had embedded within it. Results show that noisy ASR can be resolved based on predictions from context about what a user might say, and that dialogue management strategies for clarifications of linguistic form benefit from access to features from spoken language understanding.

Original languageEnglish (US)
Title of host publicationProceedings of the SIGDIAL 2011 Conference
Subtitle of host publication12th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Pages248-258
Number of pages11
StatePublished - Dec 1 2011
Event12th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2011 - Portland, OR, United States
Duration: Jun 17 2011Jun 18 2011

Publication series

NameProceedings of the SIGDIAL 2011 Conference: 12th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Other

Other12th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2011
CountryUnited States
CityPortland, OR
Period6/17/116/18/11

All Science Journal Classification (ASJC) codes

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

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