PoliticIT at EVALITA 2023: Overview of the Political Ideology Detection in Italian Texts Task

Daniel Russo*, Salud María Jiménez-Zafra, José Antonio García-Díaz, Tommaso Caselli, Marco Guerini, L. Alfonso Ureña-López, Rafael Valencia-García

*Corresponding author voor dit werk

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)
97 Downloads (Pure)

Samenvatting

This paper presents the PoliticIT 2023 shared task, organised at EVALITA 2023 workshop. The task aims to extract politicians' ideology information from a set of tweets in Italian framed as a binary and a multiclass classification. The task is designed to be privacy-preserving and it is accompanied by a subtask targeting the identification of self-assigned gender as a demographic trait. The PoliticIT task attracted 7 teams that registered for the task, submitted results and presented working notes describing their systems. Most of the teams proposed transformer-based approaches, while some of them also used traditional machine learning algorithms or even a combination of both.

Originele taal-2English
TitelProceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)
RedacteurenMirko Lai, Stefano Menini, Marco Polignano, Valentina Russo, Rachele Sprugnoli, Giulia Venturi
UitgeverijCEUR Workshop Proceedings (CEUR-WS.org)
Aantal pagina's8
StatusPublished - 2023
Evenement8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2023 - Parma, Italy
Duur: 7-sep.-20238-sep.-2023

Publicatie series

NaamCEUR Workshop Proceedings
Volume3473
ISSN van geprinte versie1613-0073

Conference

Conference8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2023
Land/RegioItaly
StadParma
Periode07/09/202308/09/2023

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