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The distribution of discourse relations within and across turns in spontaneous conversation

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Time pressure and topic negotiation may impose constraints on how people leverage discourse relations (DRs) in spontaneous conversational contexts. In this work, we adapt a system of DRs for written language to spontaneous dialogue using crowdsourced annotations from novice annotators. We then test whether discourse relations are used differently across several types of multi-utterance contexts. We compare the patterns of DR annotation within and across speakers and within and across turns. Ultimately, we find that different discourse contexts produce distinct distributions of discourse relations, with single-turn annotations creating the most uncertainty for annotators. Additionally, we find that the discourse relation annotations are of sufficient quality to predict from embeddings of discourse units.

Original languageEnglish
Title of host publication4th Workshop on Computational Approaches to Discourse, CODI 2023 - Proceedings of the Workshop
EditorsChloe Braud, Christian Hardmeier, Junyi Jessy Li, Sharid Loaiciga, Michael Strube, Amir Zeldes
PublisherAssociation for Computational Linguistics (ACL)
Pages156-162
Number of pages7
ISBN (Electronic)9781959429890
StatePublished - 2023
Event4th Workshop on Computational Approaches to Discourse, CODI 2023 - Toronto, Canada
Duration: Jul 13 2023Jul 14 2023

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

Conference4th Workshop on Computational Approaches to Discourse, CODI 2023
Country/TerritoryCanada
CityToronto
Period07/13/2307/14/23

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