no code implementations • LREC 2022 • Arianna Muti, Francesco Fernicola, Alberto Barrón-Cedeño
We target the complementary binary tasks of identifying whether a tweet is misogynous and, if that is the case, whether it is also aggressive.
1 code implementation • SemEval (NAACL) 2022 • Arianna Muti, Katerina Korre, Alberto Barrón-Cedeño
We present our submission to SemEval 2022 Task 5 on Multimedia Automatic Misogyny Identification.
no code implementations • LTEDI (ACL) 2022 • Arianna Muti, Marta Marchiori Manerba, Katerina Korre, Alberto Barrón-Cedeño
Task Hope Speech Detection required models for the automatic identification of hopeful comments for equality, diversity, and inclusion.
no code implementations • ACL 2022 • Arianna Muti, Alberto Barrón-Cedeño
We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian, and Spanish.
no code implementations • 3 Apr 2024 • Arianna Muti, Federico Ruggeri, Cagri Toraman, Lorenzo Musetti, Samuel Algherini, Silvia Ronchi, Gianmarco Saretto, Caterina Zapparoli, Alberto Barrón-Cedeño
Disambiguating the meaning of such terms might help the detection of misogyny.
1 code implementation • 29 May 2023 • Francesco Antici, Andrea Galassi, Federico Ruggeri, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.