@inproceedings{de-sa-etal-2026-semantic,
title = "Semantic Change Characterization with {LLM}s using Rhetorics",
author = "de S{\'a}, J{\'a}der Martins Camboim and
Lee, Jooyoung and
Da Silveira, Marcos and
Pruski, Cedric",
editor = "Tahmasebi, Nina and
Cassotti, Pierluigi and
Montariol, Syrielle and
Kutuzov, Andrey and
Huebscher, Netta and
Spaziani, Elena and
Baes, Naomi",
booktitle = "The Proceedings for the 6th International Workshop on Computational Approaches to Language Change ({LC}hange{'}26)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.lchange-1.9/",
pages = "110--123",
ISBN = "979-8-89176-362-3",
abstract = "Languages continually evolve in response to societal events, resulting in new terms and shifts in meanings. These changes have significant implications for computer applications, including automatic translation and chatbots, making it essential to characterize them accurately. The recent development of LLMs has notably advanced natural language understanding, particularly in sense inference and reasoning. In this paper, we investigate the potential of LLMs in characterizing three types of semantic change: dimension, relation, and orientation. We achieve this by combining LLMs' Chain-of-Thought with rhetorical devices and conducting an experimental assessment of our approach using newly created datasets. Our results highlight the effectiveness of LLMs in capturing and analyzing semantic changes, providing valuable insights to improve computational linguistic applications."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="de-sa-etal-2026-semantic">
<titleInfo>
<title>Semantic Change Characterization with LLMs using Rhetorics</title>
</titleInfo>
<name type="personal">
<namePart type="given">Jáder</namePart>
<namePart type="given">Martins</namePart>
<namePart type="given">Camboim</namePart>
<namePart type="family">de Sá</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jooyoung</namePart>
<namePart type="family">Lee</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marcos</namePart>
<namePart type="family">Da Silveira</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Cedric</namePart>
<namePart type="family">Pruski</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nina</namePart>
<namePart type="family">Tahmasebi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pierluigi</namePart>
<namePart type="family">Cassotti</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Syrielle</namePart>
<namePart type="family">Montariol</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrey</namePart>
<namePart type="family">Kutuzov</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Netta</namePart>
<namePart type="family">Huebscher</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Elena</namePart>
<namePart type="family">Spaziani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naomi</namePart>
<namePart type="family">Baes</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Rabat, Morocco</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-362-3</identifier>
</relatedItem>
<abstract>Languages continually evolve in response to societal events, resulting in new terms and shifts in meanings. These changes have significant implications for computer applications, including automatic translation and chatbots, making it essential to characterize them accurately. The recent development of LLMs has notably advanced natural language understanding, particularly in sense inference and reasoning. In this paper, we investigate the potential of LLMs in characterizing three types of semantic change: dimension, relation, and orientation. We achieve this by combining LLMs’ Chain-of-Thought with rhetorical devices and conducting an experimental assessment of our approach using newly created datasets. Our results highlight the effectiveness of LLMs in capturing and analyzing semantic changes, providing valuable insights to improve computational linguistic applications.</abstract>
<identifier type="citekey">de-sa-etal-2026-semantic</identifier>
<location>
<url>https://aclanthology.org/2026.lchange-1.9/</url>
</location>
<part>
<date>2026-03</date>
<extent unit="page">
<start>110</start>
<end>123</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Semantic Change Characterization with LLMs using Rhetorics
%A de Sá, Jáder Martins Camboim
%A Lee, Jooyoung
%A Da Silveira, Marcos
%A Pruski, Cedric
%Y Tahmasebi, Nina
%Y Cassotti, Pierluigi
%Y Montariol, Syrielle
%Y Kutuzov, Andrey
%Y Huebscher, Netta
%Y Spaziani, Elena
%Y Baes, Naomi
%S The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-362-3
%F de-sa-etal-2026-semantic
%X Languages continually evolve in response to societal events, resulting in new terms and shifts in meanings. These changes have significant implications for computer applications, including automatic translation and chatbots, making it essential to characterize them accurately. The recent development of LLMs has notably advanced natural language understanding, particularly in sense inference and reasoning. In this paper, we investigate the potential of LLMs in characterizing three types of semantic change: dimension, relation, and orientation. We achieve this by combining LLMs’ Chain-of-Thought with rhetorical devices and conducting an experimental assessment of our approach using newly created datasets. Our results highlight the effectiveness of LLMs in capturing and analyzing semantic changes, providing valuable insights to improve computational linguistic applications.
%U https://aclanthology.org/2026.lchange-1.9/
%P 110-123
Markdown (Informal)
[Semantic Change Characterization with LLMs using Rhetorics](https://aclanthology.org/2026.lchange-1.9/) (de Sá et al., LChange 2026)
ACL
- Jáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, and Cedric Pruski. 2026. Semantic Change Characterization with LLMs using Rhetorics. In The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26), pages 110–123, Rabat, Morocco. Association for Computational Linguistics.