@inproceedings{faye-etal-2025-notmynarrative,
title = "{N}ot{M}y{N}arrative at {S}em{E}val-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?",
author = "Faye, Geraud and
Gadek, Guillaume and
Ouerdane, Wassila and
Hudelot, Celine and
Gatepaille, Sylvain",
editor = "Rosenthal, Sara and
Ros{\'a}, Aiala and
Ghosh, Debanjan and
Zampieri, Marcos",
booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.semeval-1.10/",
pages = "58--66",
ISBN = "979-8-89176-273-2",
abstract = "Narratives are a new tool to propagate ideas that are sometimes well hidden in press articles. The SemEval-2025 Task 10 focuses on detecting and extracting such narratives in multiple languages. In this paper, we explore the capabilities of encoder-based language models to classify texts according to the narrative they contain. We show that multilingual encoders outperform monolingual models on this dataset, which is challenging due to the small number of samples per class per language. We perform additional experiments to measure the generalization of features in multilingual models to new languages."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="faye-etal-2025-notmynarrative">
<titleInfo>
<title>NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?</title>
</titleInfo>
<name type="personal">
<namePart type="given">Geraud</namePart>
<namePart type="family">Faye</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Guillaume</namePart>
<namePart type="family">Gadek</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wassila</namePart>
<namePart type="family">Ouerdane</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Celine</namePart>
<namePart type="family">Hudelot</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sylvain</namePart>
<namePart type="family">Gatepaille</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2025-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Sara</namePart>
<namePart type="family">Rosenthal</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Aiala</namePart>
<namePart type="family">Rosá</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Debanjan</namePart>
<namePart type="family">Ghosh</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marcos</namePart>
<namePart type="family">Zampieri</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Vienna, Austria</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-273-2</identifier>
</relatedItem>
<abstract>Narratives are a new tool to propagate ideas that are sometimes well hidden in press articles. The SemEval-2025 Task 10 focuses on detecting and extracting such narratives in multiple languages. In this paper, we explore the capabilities of encoder-based language models to classify texts according to the narrative they contain. We show that multilingual encoders outperform monolingual models on this dataset, which is challenging due to the small number of samples per class per language. We perform additional experiments to measure the generalization of features in multilingual models to new languages.</abstract>
<identifier type="citekey">faye-etal-2025-notmynarrative</identifier>
<location>
<url>https://aclanthology.org/2025.semeval-1.10/</url>
</location>
<part>
<date>2025-07</date>
<extent unit="page">
<start>58</start>
<end>66</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?
%A Faye, Geraud
%A Gadek, Guillaume
%A Ouerdane, Wassila
%A Hudelot, Celine
%A Gatepaille, Sylvain
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F faye-etal-2025-notmynarrative
%X Narratives are a new tool to propagate ideas that are sometimes well hidden in press articles. The SemEval-2025 Task 10 focuses on detecting and extracting such narratives in multiple languages. In this paper, we explore the capabilities of encoder-based language models to classify texts according to the narrative they contain. We show that multilingual encoders outperform monolingual models on this dataset, which is challenging due to the small number of samples per class per language. We perform additional experiments to measure the generalization of features in multilingual models to new languages.
%U https://aclanthology.org/2025.semeval-1.10/
%P 58-66
Markdown (Informal)
[NotMyNarrative at SemEval-2025 Task 10: Do Narrative Features Share Across Languages in Multilingual Encoder Models?](https://aclanthology.org/2025.semeval-1.10/) (Faye et al., SemEval 2025)
ACL