I am a third-year PhD student at University of Trento and Fondazione Bruno Kessler under the supervision of Sara Tonelli. My research is focused on the analysis of language on social media, with emphasis on how to improve existing systems for studying language use on online platforms. More specifically, I have been working on approaches to augment existing data for hate speech and offensive language detection, focusing on the generation of synthetic data.
Previously, I graduated from the Master’s Degree in Language Technology at Uppsala University (2020) with a thesis titled “Transfer Learning for Multilingual Offensive Language Detection with BERT”, co-supervised by Christian Hardmeier and Sara Tonelli.
[Accepted @ EACL 2023 main conference] Camilla Casula and Sara Tonelli. Generation-Based Data Augmentation for Offensive Language Detection: Is It Worth It?
Tanise Ceron and Camilla Casula. Exploiting Contextualized Word Representations to Profile Haters on Twitter. In CLEF (Working Notes). 2021.
Camilla Casula and Sara Tonelli. Hate Speech Detection with Machine-Translated Data: The Role of Annotation Scheme, Class Imbalance and Undersampling, Proceedings of the Seventh Italian Conference on Computational Linguistics,CLiC-it 2020, Bologna, Italy, March 1-3, 2021, CEUR-WS.org, vol. 2769, 2020.
Camilla Casula, Alessio Palmero Aprosio, Stefano Menini, and Sara Tonelli. FBK-DH at SemEval-2020 Task 12: Using Multi-Channel BERT for Multilingual Offensive Language Detection. Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020.
Camilla Casula. Transfer Learning for Multilingual Offensive Language Detection with BERT. Master’s thesis, Uppsala University, Department of Linguistics and Philology, 2020.