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

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.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.1117
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Valentina Pyatkin, Junyi Jessy Li, Kyle Mahowald, William P. Sheffield et al.
Natural Language Processing Techniques
article

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

Valentina Pyatkin, Junyi Jessy Li, Kyle Mahowald, William P. Sheffield, Kanishka Misra, Ashwini Deo
article en

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.

National Science Foundation
Openalex Percentile: Top 90%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.