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Tom Bourgeade
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2020 – today
- 2024
- [c7]Tom Bourgeade, Zongmin Li, Farah Benamara, Véronique Moriceau, Jian Su, Aixin Sun:
Humans Need Context, What about Machines? Investigating Conversational Context in Abusive Language Detection. LREC/COLING 2024: 8438-8452 - 2023
- [c6]Alessandra Teresa Cignarella, Simona Frenda, Tom Bourgeade, Cristina Bosco, Francesca D'Errico:
Linking Stance and Stereotypes About Migrants in Italian Fake News. CLiC-it 2023 - [c5]Tom Bourgeade, Alessandra Teresa Cignarella, Simona Frenda, Mario Laurent, Wolfgang Schmeisser-Nieto, Farah Benamara, Cristina Bosco, Véronique Moriceau, Viviana Patti, Mariona Taulé:
A Multilingual Dataset of Racial Stereotypes in Social Media Conversational Threads. EACL (Findings) 2023: 674-684 - [c4]Tom Bourgeade, Patricia Chiril, Farah Benamara, Véronique Moriceau:
What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection. EACL 2023: 3477-3490 - [c3]Tom Bourgeade, Patricia Chiril, Farah Benamara, Véronique Moriceau:
Topic Refinement in Multi-level Hate Speech Detection. ECIR (2) 2023: 367-376 - 2022
- [b1]Tom Bourgeade:
From Text to Trust: A Priori Interpretability Versus Post Hoc Explainability in Natural Language Processing. (Interprétabilité a priori et explicabilité a posteriori dans le traitement automatique des langues). Paul Sabatier University, Toulouse, France, 2022 - 2021
- [c2]Tom Bourgeade, Philippe Muller, Tim Van de Cruys:
Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection). TALN (1) 2021: 64-80
2010 – 2019
- 2019
- [c1]Tom Bourgeade, Philippe Muller:
Représentation sémantique distributionnelle et alignement de conversations par chat (Distributional semantic representation and alignment of online chat conversations ). PFIA (Articles courts) 2019: 399-408
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