Researching Stereotypes towards LGBTQIA+ Community Members with Multilingual Natural Language Processing

Informations projet

RAINBOW

N° de convention de subvention: 101146287

DOI

10.3030/101146287

Projet clôturé

Date de signature de la CE 22 Mai 2024

Date de début 1 Juillet 2024

Date de fin 30 Juin 2026

Financé au titre de

• Marie Skłodowska-Curie Actions (MSCA)

Coût total

Aucune donnée

Contribution de l’UE

€ 175 920,00

Coordonné par

UNIVERSITEIT GENT
Belgium

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Livrables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Conference proceedings (4)

Subjectivity in Stereotypes against Migrants in Italian: An Experimental Annotation Procedure

Auteurs: Soda Marem Lo, Marco Antonio Stranisci, Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, Elisabetta Jezek, and Viviana Patti
Publié dans: Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025), 2025
Éditeur: CEUR-WS.org

HODIAT: A Dataset for Detecting Homotransphobic Hate Speech in Italian with Aggressiveness and Target Annotation

Auteurs: Greta Damo, Alessandra Teresa Cignarella, Tommaso Caselli, Viviana Patti, Debora Nozza
Publié dans: Proceedings of the 9th Workshop on Online Abuse and Harms (WOAH), 2025, ISBN 979-8-89176-105-6
Éditeur: Association for Computational Linguistics

StereoBusters at GSI:detect: LLM-Based Detection and Human Qualitative Analysis of Gender Stereotypes in Italian Short Text

Auteurs: Salvatore Greco, Moreno La Quatra, Marta Marchiori Manerba, Ricardo Muñoz Sánchez, Alessandra Teresa Cignarella
Publié dans: Proceedings of the 9th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2026)
Éditeur: CEUR-WS.org

An Overview of Current Practices and Recommendations for Working with Stereotypes in NLP

Auteurs: Alessandra Teresa Cignarella and Matteo Pellegrini
Publié dans: Proceedings of NLPerspectives @ LREC 2026, 2026
Éditeur: ELRA

Peer reviewed articles (1)

A Survey on Stereotype Detection in Natural Language Processing

Auteurs: Alessandra Teresa Cignarella, Anastasia Giachanou, Els Lefever
Publié dans: ACM Computing Surveys, Numéro 58, 2025, ISSN 0360-0300
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3770754