Is Information Density Uniform in Task-Oriented Dialogues?

Open Access
Authors
Publication date 2021
Host editors
  • M.-C. Moens
  • X. Huang
  • L. Specia
  • S.W. Yih
Book title 2021 Conference on Empirical Methods in Natural Language Processing
Book subtitle EMNLP 2021 : proceedings of the conference : November 7-11, 2021
ISBN (electronic)
  • 9781955917094
Event 2021 Conference on Empirical Methods in Natural Language Processing
Pages (from-to) 8271–8283
Publisher Stroudsburg, PA: The Association for Computational Linguistics
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
The Uniform Information Density principle states that speakers plan their utterances to reduce fluctuations in the density of the information transmitted. In this paper, we test whether, and within which contextual units this principle holds in task-oriented dialogues. We show that there is evidence supporting the principle in written dialogues where participants play a cooperative reference game as well as in spoken dialogues involving instruction giving and following. Our study underlines the importance of identifying the relevant contextual components, showing that information content increases particularly within topically and referentially related contextual units.
Document type Conference contribution
Note With supplementary video and software
Language English
Published at https://doi.org/10.18653/v1/2021.emnlp-main.652
Other links https://github.com/dmg-illc/uid-dialogue
Downloads
2021.emnlp-main.652 (Final published version)
Supplementary materials
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