Analyzing speaker strategy in referential communication

Brian McMahan, Matthew Stone

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

2 Scopus citations

Abstract

We analyze a corpus of referential communication through the lens of quantitative models of speaker reasoning. Different models place different emphases on linguistic reasoning and collaborative reasoning. This leads models to make different assessments of the risks and rewards of using specific utterances in specific contexts. By fitting a latent variable model to the corpus, we can exhibit utterances that give systematic evidence of the diverse kinds of reasoning speakers employ, and build integrated models that recognize not only speaker reference but also speaker reasoning.

Original languageEnglish (US)
Title of host publicationSIGDIAL 2020 - 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages175-185
Number of pages11
ISBN (Electronic)9781952148026
StatePublished - 2020
Event21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2020 - Virtual, Online
Duration: Jul 1 2020Jul 3 2020

Publication series

NameSIGDIAL 2020 - 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference

Conference

Conference21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2020
CityVirtual, Online
Period7/1/207/3/20

All Science Journal Classification (ASJC) codes

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

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