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2020 – today
- 2024
[c9]Giulia Rizzi, David Gimeno-Gómez, Elisabetta Fersini, Carlos D. Martínez-Hinarejos:
PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes. CLEF (Working Notes) 2024: 1177-1186- [c8]Giulia Rizzi, Paolo Rosso, Elisabetta Fersini:
From Explanation to Detection: Multimodal Insights into Disagreement in Misogynous Memes. CLiC-it 2024 - [c7]Giulia Rizzi
, Alessandro Astorino, Paolo Rosso, Elisabetta Fersini:
Unraveling Disagreement Constituents in Hateful Speech. ECIR (4) 2024: 21-29 - 2023
- [j1]Giulia Rizzi, Francesca Gasparini, Aurora Saibene, Paolo Rosso, Elisabetta Fersini:
Recognizing misogynous memes: Biased models and tricky archetypes. Inf. Process. Manag. 60(5): 103474 (2023) - [c6]Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreement Regime. CLEF (Working Notes) 2023: 985-999 - [c5]Alessandro Astorino, Giulia Rizzi, Elisabetta Fersini:
Integrated Gradients as Proxy of Disagreement in Hateful Content. CLiC-it 2023 - [c4]Gianmaria Balducci, Giulia Rizzi, Elisabetta Fersini:
Bias Mitigation in Misogynous Meme Recognition: A Preliminary Study. CLiC-it 2023 - [c3]Giulia Rizzi, Alessandro Astorino, Daniel Scalena, Paolo Rosso, Elisabetta Fersini:
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement. SemEval@ACL 2023: 556-564 - [i2]Angel Felipe Magnossão de Paula, Giulia Rizzi, Elisabetta Fersini, Damiano Spina:
AI-UPV at EXIST 2023 - Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime. CoRR abs/2307.03385 (2023) - 2022
- [c2]Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Berta Chulvi, Paolo Rosso, Alyssa Lees, Jeffrey Sorensen:
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification. SemEval@NAACL 2022: 533-549 - 2021
- [c1]Elisabetta Fersini, Giulia Rizzi, Aurora Saibene, Francesca Gasparini:
Misogynous MEME Recognition: A Preliminary Study. AI*IA 2021: 279-293 - [i1]Francesca Gasparini, Giulia Rizzi, Aurora Saibene, Elisabetta Fersini:
Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content. CoRR abs/2106.08409 (2021)
Coauthor Index
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