PARADISE-style evaluation of a human-human library corpus

Rebecca Jane Passonneau, Irene Alvarado, Phil Crone, Simon Jerome

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

3 Scopus citations

Abstract

We apply a PARADISE-style evaluation to a human-human dialogue corpus that was collected to support the design of a spoken dialogue system for library transactions. The book request dialogue task we investigate is informational in nature: a book request is considered successful if the librarian is able to identify a specific book for the patron. PARADISE assumes that user satisfaction can be modeled as a regression over task success and dialogue costs. The PARADISE model we derive includes features that characterize two types of qualitative features. The first has to do with the specificity of the communicative goals, given a request for an item. The second has to do with the number and location of overlapping turns, which can sometimes signal rapport between the speakers.

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
Pages325-331
Number of pages7
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
Country/TerritoryUnited 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

Fingerprint

Dive into the research topics of 'PARADISE-style evaluation of a human-human library corpus'. Together they form a unique fingerprint.

Cite this