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Found 8 papers, 2 papers with code
Detecting Arguments in CJEU Decisions on Fiscal State Aid
The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law.
A Corpus for Multilingual Analysis of Online Terms of Service
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service.
Legal Summarisation through LLMs: The PRODIGIT Project
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.
Stable Normative Explanations: From Argumentation to Deontic Logic
This paper examines how a notion of stable explanation developed elsewhere in Defeasible Logic can be expressed in the context of formal argumentation.
Modelling and Explaining Legal Case-based Reasoners through Classifiers
In this paper we combine the modal logic approach (binary-input classifier, BLC) to classifiers and their explanations given by Liu & Lorini (2021) with Horty's account of factor-based CBR, since both a classifier and CBR map sets of features to decisions or classifications.
Modeling Contrary-to-Duty with CP-nets
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 violated.
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service
Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer.
A Labelling Framework for Probabilistic Argumentation
The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities.
