Foto del docente

Paolo Torroni

Associate Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems

Director of Second Cycle Degree in Artificial Intelligence


Ruolo editoriale nella rivista «Fundamenta Informaticae»

Ruolo editoriale nella rivista «Intelligenza Artificiale»

Ruggeri, Federico; Lagioia, Francesca; Lippi, Marco; Torroni, Paolo, Detecting and explaining unfairness in consumer contracts through memory networks, «ARTIFICIAL INTELLIGENCE AND LAW», 2021, online first, pp. 1 - 35 [Scientific article]Open Access

Andrea Galassi; Marco Lippi; Paolo Torroni, Multi-Task Attentive Residual Networks for Argument Mining, 2021. [Technical report]

Rich, Alexander S.; Rudin, Cynthia; Jacoby, David M. P.; Freeman, Robin; Wearn, Oliver R.; Shevlin, Henry; Dihal, Kanta; ÓhÉigeartaigh, Seán S.; Butcher, James; Lippi, Marco; Palka, Przemyslaw; Torroni, Paolo; Wongvibulsin, Shannon; Begoli, Edmon; Schneider, Gisbert; Cave, Stephen; Sloane, Mona; Moss, Emmanuel; Rahwan, Iyad; Goldberg, Ken; Howard, David; Floridi, Luciano; Stilgoe, Jack, AI reflections in 2019, «NATURE MACHINE INTELLIGENCE», 2020, 2, pp. 2 - 9 [Comment or similar]

Andrea Galassi; Marco Lippi; Paolo Torroni, Attention in Natural Language Processing, «IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS», 2020, 0, pp. 1 - 18 [Scientific article]

Galassi Andrea, Drazewski Kasper, Lippi Marco , Torroni Paolo, Cross-lingual Annotation Projection in Legal Texts, in: Proceedings of the 28th International Conference on Computational Linguistics, International Committee on Computational Linguistics, 2020, pp. 915 - 926 (atti di: International Conference on Computational Linguistics, Barcellona, Spagna, 8/12/2020) [Contribution to conference proceedings]

Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni, Detecting and Explaining Unfairness in Consumer Contracts with Memory Networks, in: Detecting and Explaining Unfairness in Consumer Contracts with Memory Networks, 2020(atti di: ICML 2020 Workshop on Law & Machine Learning (LML), Vienna, 17-18 Luglio 2020) [Poster]Open Access

Galassi, Andrea; Kersting, Kristian; Lippi, Marco; Shao, Xiaoting; Torroni, Paolo, Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning, «FRONTIERS IN BIG DATA», 2020, 2, pp. 1 - 6 [Scientific article]Open Access

Loreti, Daniela; Lippi, Marco; Torroni, Paolo, Parallelizing Machine Learning as a service for the end-user, «FUTURE GENERATION COMPUTER SYSTEMS», 2020, 105, pp. 275 - 286 [Scientific article]

Badica, Costin; Ivanovic, Mirjana; Manolopoulos, Yannis; Rosati, Riccardo; Torroni, Paolo, Preface, «FUNDAMENTA INFORMATICAE», 2020, 172, pp. i - ii [Comment or similar]

Lippi, Marco; Contissa, Giuseppe; Jablonowska, Agnieszka; Lagioia, Francesca; Micklitz, Hans-Wolfgang; Palka, Przemyslaw; Sartor, Giovanni; Torroni, Paolo, The Force Awakens: Artificial Intelligence for Consumer Law, «THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH», 2020, 67, pp. 169 - 190 [Scientific article]Open Access

Lippi, Marco*; Pałka, Przemysław; Contissa, Giuseppe; Lagioia, Francesca; Micklitz, Hans-Wolfgang; Sartor, Giovanni; Torroni, Paolo, CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service, «ARTIFICIAL INTELLIGENCE AND LAW», 2019, 27, pp. 117 - 139 [Scientific article]Open Access

Marco Lippi; Giuseppe Contissa; Francesca Lagioia; Hans-Wolfgang Micklitz; Prezemyslaw Palka; Giovanni Sartor; Paolo Torroni, Consumer protection requires artificial intelligence, «NATURE MACHINE INTELLIGENCE», 2019, 1, pp. 168 - 169 [Scientific article]Open Access

Lagioia Francesca; Ruggeri Federico; Drazewski Kasper; Lippi Marco; Micklitz Hans-Wolfgang; Torroni Paolo; Sartor Giovanni, Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts, in: Legal Knowledge and Information Systems. JURIX 2019: The Thirty-second Annual Conference, Amsterdam, IOS Press, 2019, pp. 43 - 52 (FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS) [Chapter or essay]Open Access

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