CV

PhD

University of Trento & Fondazione Bruno Kessler

Neural Models for knowledge-driven Natural Language Generation to fight misinformation.

Master Degree

University of Trento

Cognitive Science - Language and Multimodal Interaction

Bachelor Degree

University of Turin

Computer Science

Intern

Fondazione Bruno Kessler

Intern at the Language and Dialogue Technologies (LanD) group at Fondazione Bruno Kessler, tutored by Marco Guerini. My research topic focuses on the development of Natural Language Generation (NLG) systems for countering online misinformation. During this experience, I became familiar with the summarization task, investigating various extractive and abstractive approaches. I employed pretrained Language Models for abstractive summarization, namely the Transformer models, exploring their potential and limitations (restricted input length, hallucinations, etc.).

Teaching Assistant

University of Trento

Teaching Assistant for MSc Computational Skills for Text Analysis (Lecturer: Luca Ducceschi).

Intern

University of Turin

Internship activity focused on thesis research and drafting. The internship was carried out in collaboration with the ICT of the Rai Radiotelevisione Italiana, as part of the M.EMO.RAI project, under the supervision of Professor Viviana Patti and Professor Valerio Basile.

Student Volunteer

Student Volunteer at EMNLP 2023

Countering Misinformation via Emotional Response Generation

EMNLP 2023

Daniel Russo, Shane Kaszefski-Yaschuk, Jacopo Staiano, and Marco Guerini. 2023. Countering Misinformation via Emotional Response Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 11476–11492, Singapore. Association for Computational Linguistics.

Benchmarking the Generation of Fact Checking Explanations

TACL

Daniel Russo, Serra Sinem Tekiroğlu, and Marco Guerini. 2023. Benchmarking the Generation of Fact Checking Explanations. Transactions of the Association for Computational Linguistics, 11:1250–1264.

PoliticIT at EVALITA 2023: Overview of the Political Ideology Detection in Italian Texts Task

EVALITA 2023

Russo, D., Jiménez-Zafra, S. M., García-Díaz, J. A., Caselli, T., Guerini, M., Alfonso Ureña-López, L., & Valencia-García, R. (2023). PoliticIT at EVALITA 2023: Overview of the Political Ideology Detection in Italian Texts Task. In Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023).