activity
20172023
most citedCLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service

168 citations · 181 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023★ 4 cited

Legal Summarisation through LLMs: The PRODIGIT Project

Thiago Dal Pont, Federico Galli, Andrea Loreggia +3

We present some initial results of a large-scale Italian project called PRODIGIT which aims to support tax judges and lawyers through digital technology, focusing on AI. We have fo…

cs.AI2023

Stable Normative Explanations: From Argumentation to Deontic Logic

Cecilia Di Florio, Guido Governatori, Antonino Rotolo +1

This paper examines how a notion of stable explanation developed elsewhere in Defeasible Logic can be expressed in the context of formal argumentation. With this done, we discuss t…

cs.AI2022★ 1 cited

Modelling and Explaining Legal Case-based Reasoners through Classifiers

Xinghan Liu, Emiliano Lorini, Antonino Rotolo +1

This paper brings together two lines of research: factor-based models of case-based reasoning (CBR) and the logical specification of classifiers. Logical approaches to classifiers…

cs.PL2021

Pacta sunt servanda: legal contracts in Stipula

Silvia Crafa, Cosimo Laneve, Giovanni Sartor

There is a growing interest in running legal contracts on digital systems, at the same time, it is important to understand to what extent software contracts may capture legal conte…

cs.LO2020★ 5 cited

Burden of Persuasion in Argumentation

Roberta Calegari, Giovanni Sartor

This paper provides a formal model for the burden of persuasion in dialogues, and in particular, in legal proceedings. The model shows how an allocation of the burden of persuasion…

cs.AI2020

Modeling Contrary-to-Duty with CP-nets

Roberta Calegari, Andrea Loreggia, Emiliano Lorini +2

In a ceteris-paribus semantics for deontic logic, a state of affairs where a larger set of prescriptions is respected is preferable to a state of affairs where some of them are vio…

cs.AI2018★ 168 cited

CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service

Marco Lippi, Przemyslaw Palka, Giuseppe Contissa +4

Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to…

cs.AI2017★ 3 cited

A Labelling Framework for Probabilistic Argumentation

Regis Riveret, Pietro Baroni, Yang Gao +3

The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportu…