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Main Authors: Cortez, S. Magalí López, Jacobs, Cassandra L.
Format: Preprint
Published: 2023
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Online Access:https://arxiv.org/abs/2307.03645
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author Cortez, S. Magalí López
Jacobs, Cassandra L.
author_facet Cortez, S. Magalí López
Jacobs, Cassandra L.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2307_03645
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle The distribution of discourse relations within and across turns in spontaneous conversation
Cortez, S. Magalí López
Jacobs, Cassandra L.
Computation and Language
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.
title The distribution of discourse relations within and across turns in spontaneous conversation
topic Computation and Language
url https://arxiv.org/abs/2307.03645