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 …

Abstract Argumentation mining is a recent challenge concerning the automatic extraction of
arguments from unstructured textual corpora. Argumentation mining technologies are rapidly …

Recent work has demonstrated how data-driven AI methods can leverage consumer
protection by supporting the automated analysis of legal documents. However, a …

Consumer contracts too often present clauses that are potentially unfair to the subscriber.
We present an experimental study where machine learning is employed to automatically …

Scientific papers are essential manifestations of evolving scientific knowledge, and
arguments are an important avenue to communicate research results. This study aims to …

The purpose of this study is to deploy a novel methodology for classifying different
argumentative support (supporting evidences) in arguments, without considering the …

Most investors tend to make decisions after analysing financial documents of organizations
available online. These documents include financial reports, conversations, brochures, etc …

Dealing with events is a challenging task in Artificial Intelligence; just trying to define what is
an event and deciding what information should be considered relevant to it is a difficult and …

The aim of this study is to propose an innovative methodology to classify argumentative
stances in a monologic argumentative context. Particularly, the proposed approach shows …

After introducing the concept and the methods of artificial intelligence, we shall consider the
prospects of machine learning technologies, as applied to big data. We shall discuss the …