Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution

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• dc.contributor.author Aina, Laura
• dc.contributor.author Liao, Xixian
• dc.contributor.author Boleda, Gemma
• dc.contributor.author Westera, Matthijs
• dc.date.accessioned 2023-04-03T06:14:58Z
• dc.date.available 2023-04-03T06:14:58Z
• dc.date.issued 2021
• dc.description Comunicació presentada a 25th Conference on Computational Natural Language Learning (CoNLL 2021) celebrada en línia del 10 al 11 de 2021
• dc.description.abstract It is often posited that more predictable parts of a speaker’s meaning tend to be made less explicit, for instance using shorter, less informative words. Studying these dynamics in the domain of referring expressions has proven difficult, with existing studies, both psycholinguistic and corpus-based, providing contradictory results. We test the hypothesis that speakers produce less informative referring expressions (e.g., pronouns vs. full noun phrases) when the context is more informative about the referent, using novel computational estimates of referent predictability. We obtain these estimates training an existing coreference resolution system for English on a new task, masked coreference resolution, giving us a probability distribution over referents that is conditioned on the context but not the referring expression. The resulting system retains standard coreference resolution performance while yielding a better estimate of human-derived referent predictability than previous attempts. A statistical analysis of the relationship between model output and mention form supports the hypothesis that predictability affects the form of a mention, both its morphosyntactic type and its length.
• dc.description.sponsorship 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. 715154).
• dc.format.mimetype application/pdf
• dc.identifier.citation Aina L, Liao X, Boleda G, Westera M. Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution. In: Bisazza A, Abend O, editors. Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL 2021); 2021 Nov 10-11; [online]. [Stroudsburg]: Association for Computational Linguistics; 2021. p. 454–69. DOI: 10.18653/v1/2021.conll-1.36
• dc.identifier.doi http://dx.doi.org/10.18653/v1/2021.conll-1.36
• dc.identifier.uri http://hdl.handle.net/10230/56393
• dc.language.iso eng
• dc.publisher ACL (Association for Computational Linguistics)
• dc.relation.ispartof Bisazza A, Abend O, editors. Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL 2021); 2021 Nov 10-11; [online]. [Stroudsburg]: Association for Computational Linguistics; 2021. p. 454–69.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
• dc.rights © ACL, Creative Commons Attribution 4.0 License
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.other Lingüística computacional
• dc.subject.other Formació de mots
• dc.subject.other Gramàtica comparada i general
• dc.subject.other Morfologia
• dc.title Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion