Serena Villata
Serena Villata has 2 papers in our library, in 2026; often with Elena Cabrio, Marie-Francine Moens, Wei Sun.
OpenAlex · ORCID · Wikidata · h-index 35 · 415 works · 3,873 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 110 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #12215
Affiliations
🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt ·
France2011–2026 · 126 papers🔬Centre National de la Recherche ScientifiqueParis ·
France2014–2026 · 123 papers🎓Université Côte d'AzurNice ·
France2016–2026 · 104 papers🔬Laboratoire d'Informatique, Signaux et Systèmes de Sophia AntipolisValbonne ·
France2013–2026 · 71 papers🔬Centre Inria d'Université Côte d'AzurValbonne ·
France2011–2026 · 38 papersEmployment 2011–2012Employment 2012–2015🔬MARIANNE: Modèles et données pour l'argumentation computationnelle en langage naturelSophia Antipolis ·
France2024–2026 · 8 papers🏛️Délégation Côte d'AzurValbonne ·
France2015–2026 · 4 papersEmployment since 2015🔬WIMMICS: Web-Instrumented huMan-Machine Interactions, Communities and SemanticsSophia Antipolis ·
France2011–2025 · 132 papers🎓University of TurinTurin ·
Italy2007–2020 · 25 papers🎓Communauté d'universités et d'établissements Université Côte d'AzurNice ·
France2020–2025 · 10 papers
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPhilosophy · 2 worksLiterature and Literary Theory · 1 work
Works by year
2020s
Papers
- Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative Text (2026)
People rarely spell out every part of an argument. They leave out premises, conclusions or background knowledge they expect the audience to share. Humans fill these gaps easily, but NLP systems struggle with such incomplete arguments (enthymemes). Earlier work mostly studied them on short, tidy texts or in… - Weakly-supervised Argument Mining with Boundary Refinement and Relation Denoising (2026)
Argument mining (AM) turns paragraph text into argumentative graphs. Spans are labelled as components such as claims or premises and then linked by relations like support or attack. Strong AM systems usually depend on large amounts of manual annotation. The authors instead have an LLM pseudo-label the training data…
All works
- Argument Mining on Twitter: Arguments, Facts and Sources ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetMihai Dusmanu, Elena Cabrio, Serena Villata2017 · 107 citations
- An In-depth Analysis of Implicit and Subtle Hate Speech Messages ↗Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yetNicolás Benjamín Ocampo et al.2023 · 101 citations
- Thirty years of artificial intelligence and law: the third decade ↗Artificial Intelligence and Law (Springer) · no summary yetSerena Villata et al.2022 · 65 citations
- Legal NERC with ontologies, Wikipedia and curriculum learning ↗Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers · no summary yetCristian Cardellino et al.2017 · 53 citations
- Taking stock of legal ontologies: a feature-based comparative analysis ↗Artificial Intelligence and Law · no summary yetValentina Leone, Luigi Di, Serena Villata2019 · 25 citations
- CyberAgressionAdo-v1: a Dataset of Annotated Online Aggressions in French Collected through a Role-playing Game ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetAnaïs Ollagnier et al.2022 · 15 citations
- Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF ↗Repositorio Digital de la UNC (National University of Cordoba) · no summary yetCristian Cardellino et al.2017 · 7 citations
- Normative Multi-Agent Systems (Dagstuhl Seminar 18,171) ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetMehdi M. Dastani et al.2018 · 5 citations
- CyberAgressionAdo-Large: French Multiparty Chat Dataset to Address Online Hate ↗Association pour le Traitement Automatique des Langues · no summary yetAnaïs Ollagnier et al.2024 · 2 citations
- Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative TextLanguage Resources and Evaluation Conference (LREC)Ekaterina Sviridova, Elena Cabrio, Serena Villata2026
- Weakly-supervised Argument Mining with Boundary Refinement and Relation DenoisingFact Extraction and VERification Workshop (FEVER)Wei Sun, Mingxiao Li, Jesse Davis, et al.2026
- Extraction d'arguments basée sur les transformateurs pour des applications dans le domaine de la santé (Transformer-based Argument Mining for Healthcare Applications) ↗Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale · no summary yetTobias Mayer, Elena Cabrio, Serena Villata2021
- Sifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety ↗Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale · no summary yetMohamed Amine Romdhane, Elena Cabrio, Serena Villata2021
Co-authors here
Venues
- Language Resources and Evaluation Conference (LREC) ×2: LREC 2026
- Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ×2
- Artificial Intelligence and Law ×2
- Fact Extraction and VERification Workshop (FEVER): FEVER 2026
- Association pour le Traitement Automatique des Langues
- HAL (Le Centre pour la Communication Scientifique Directe)
- Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
- Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
- Repositorio Digital de la UNC (National University of Cordoba)
Cited by
Updated
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