Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs

  • William Sheffield
  • , Kanishka Misra
  • , Valentina Pyatkin
  • , Ashwini Deo
  • , Kyle Mahowald
  • , Junyi Jessy Li

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

Abstract

Discourse particles are crucial elements that subtly shape the meaning of text. These words, often polyfunctional, give rise to nuanced and often quite disparate semantic/discourse effects, as exemplified by the diverse uses of the particle just (e.g., exclusive, temporal, emphatic). This work investigates the capacity of LLMs to distinguish the fine-grained senses of English just, a well-studied example in formal semantics, using data meticulously created and labeled by expert linguists. Our findings reveal that while LLMs exhibit some ability to differentiate between broader categories, they struggle to fully capture more subtle nuances, highlighting a gap in their understanding of discourse particles.

Original languageEnglish
Title of host publicationFindings of the Association for Computational Linguistics
Subtitle of host publicationACL 2025
EditorsWanxiang Che, Joyce Nabende, Ekaterina Shutova, Mohammad Taher Pilehvar
PublisherAssociation for Computational Linguistics (ACL)
Pages21704-21715
Number of pages12
ISBN (Electronic)9798891762565
DOIs
StatePublished - 2025
Externally publishedYes
Event63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025 - Vienna, Austria
Duration: 27 Jul 20251 Aug 2025

Publication series

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

Conference

Conference63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025
Country/TerritoryAustria
CityVienna
Period27/07/251/08/25

Bibliographical note

Publisher Copyright:
© 2025 Association for Computational Linguistics.

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