Is Information Density Uniform in Task-Oriented Dialogues?

Mario Giulianelli, Arabella Sinclair, Raquel Fernández

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
PublisherAssociation for Computational Linguistics
Pages8271-8283
Number of pages13
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Acknowledgements
We would like to thank Jaap Jumelet for a helpful discussion on neural language models, the anonymous EMNLP-2021 reviewers for their valuable comments, as well as the anonymous ACL-2021 reviewers for feedback that led to a considerable
improvement of the first version of this paper. This project has received funding from the European Research Council (ERC) under the European Union’s
Horizon 2020 research and innovation programme (grant agreement No. 819455).

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