Daniel Russo

Orcid: 0009-0006-9123-5316

Affiliations:
  • Fondazione Bruno Kessler, Trento, Italy


According to our database1, Daniel Russo authored at least 10 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking.
Proceedings of the 18th International Natural Language Generation Conference, 2025

TrenTeam at Multilingual Counterspeech Generation: Multilingual Passage Re-Ranking Approaches for Knowledge-Driven Counterspeech Generation Against Hate.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

First-AID: the first Annotation Interface for grounded Dialogues.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

NLP for Counterspeech against Hate and Misinformation (CSHAM).
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), 2025

2024
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic Settings.
CoRR, 2024

To Click It or Not to Click It: An Italian Dataset for Neutralising Clickbait Headlines.
Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), 2024

2023
Benchmarking the Generation of Fact Checking Explanations.
Trans. Assoc. Comput. Linguistics, 2023

PoliticIT at EVALITA 2023: Overview of the Political Ideology Detection in Italian Texts Task.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

Countering Misinformation via Emotional Response Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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