Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents

The relationship between pronoun production and pronoun interpretation has been proposed to follow Bayesian principles, combining a comprehender’s expectation about which referent will be mentioned next and their estimate of how likely it is that a potential referent will be re-mentioned using a pro...

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Main Authors: Jet Hoek , Andrew Kehler , Hannah Rohde
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Communication
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomm.2021.674126/full
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author Jet Hoek 
Andrew Kehler 
Hannah Rohde
author_facet Jet Hoek 
Andrew Kehler 
Hannah Rohde
author_sort Jet Hoek 
collection DOAJ
description The relationship between pronoun production and pronoun interpretation has been proposed to follow Bayesian principles, combining a comprehender’s expectation about which referent will be mentioned next and their estimate of how likely it is that a potential referent will be re-mentioned using a pronoun. The Bayesian Model has received support from studies in several languages (English, Mandarin Chinese, Catalan, German), but tested contexts have been limited to two event participants, whereas natural language discourse often involves contexts with more than two event participants. In this study, we conducted three story continuation experiments to assess how the Bayesian Model performs in more complex contexts. Our results show that even in contexts with three event participants, comprehenders can behave rationally when interpreting pronouns, but that they appear to require sufficient context to build up a coherent representation of the situation to do so. In addition to testing the basic claim of the Bayesian Model (Weak Bayes), we test the central prediction of the Strong form of the hypothesis: that the two components of the model (next-mention expectations and choice of referring expression) are influenced by dissociated sets of factors. In a model comparison, Experiments 2 and 3 confirm the closest fit from the Bayesian Model, which supports Weak Bayes, and none of our experiments find evidence that the predictability of a referent affects pronominalization rates, which corroborates Strong Bayes. Finally, we test whether the rate of pronominalization is sensitive to factors related to ambiguity and argument/adjunct status of referents; we find that participants vary their production of pronouns most strongly based on the grammatical role of the antecedent (subject or not), with a smaller effect from the presence/absence of a gender-matched competitor and no effect from the syntactic position of this competing referent.
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spelling doaj.art-49c3568ce50a4ba38ba63319cbc30f022022-12-21T19:16:09ZengFrontiers Media S.A.Frontiers in Communication2297-900X2021-10-01610.3389/fcomm.2021.674126674126Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three ReferentsJet Hoek 0Andrew Kehler 1Hannah Rohde2Department of Language and Communication, Centre for Language Studies, Radboud University, Nijmegen, NetherlandsDepartment of Linguistics, University of California San Diego, San Diego, CA, United StatesDepartment of Linguistics and English Language, University of Edinburgh, Edinburgh, United KingdomThe relationship between pronoun production and pronoun interpretation has been proposed to follow Bayesian principles, combining a comprehender’s expectation about which referent will be mentioned next and their estimate of how likely it is that a potential referent will be re-mentioned using a pronoun. The Bayesian Model has received support from studies in several languages (English, Mandarin Chinese, Catalan, German), but tested contexts have been limited to two event participants, whereas natural language discourse often involves contexts with more than two event participants. In this study, we conducted three story continuation experiments to assess how the Bayesian Model performs in more complex contexts. Our results show that even in contexts with three event participants, comprehenders can behave rationally when interpreting pronouns, but that they appear to require sufficient context to build up a coherent representation of the situation to do so. In addition to testing the basic claim of the Bayesian Model (Weak Bayes), we test the central prediction of the Strong form of the hypothesis: that the two components of the model (next-mention expectations and choice of referring expression) are influenced by dissociated sets of factors. In a model comparison, Experiments 2 and 3 confirm the closest fit from the Bayesian Model, which supports Weak Bayes, and none of our experiments find evidence that the predictability of a referent affects pronominalization rates, which corroborates Strong Bayes. Finally, we test whether the rate of pronominalization is sensitive to factors related to ambiguity and argument/adjunct status of referents; we find that participants vary their production of pronouns most strongly based on the grammatical role of the antecedent (subject or not), with a smaller effect from the presence/absence of a gender-matched competitor and no effect from the syntactic position of this competing referent.https://www.frontiersin.org/articles/10.3389/fcomm.2021.674126/fullcoreferencepronoun productionpronoun interpretationbenefactivesambiguitybayesian coreference
spellingShingle Jet Hoek 
Andrew Kehler 
Hannah Rohde
Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
Frontiers in Communication
coreference
pronoun production
pronoun interpretation
benefactives
ambiguity
bayesian coreference
title Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
title_full Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
title_fullStr Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
title_full_unstemmed Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
title_short Pronominalization and Expectations for Re-Mention: Modeling Coreference in Contexts With Three Referents
title_sort pronominalization and expectations for re mention modeling coreference in contexts with three referents
topic coreference
pronoun production
pronoun interpretation
benefactives
ambiguity
bayesian coreference
url https://www.frontiersin.org/articles/10.3389/fcomm.2021.674126/full
work_keys_str_mv AT jethoek pronominalizationandexpectationsforrementionmodelingcoreferenceincontextswiththreereferents
AT andrewkehler pronominalizationandexpectationsforrementionmodelingcoreferenceincontextswiththreereferents
AT hannahrohde pronominalizationandexpectationsforrementionmodelingcoreferenceincontextswiththreereferents