In the last years, the legal domain has been revolutionized by the use of Information and
Communication Technologies, producing large amount of digital information. Legal …

One of the main challenges for computational legal research is drawing up innovative
heuristics to derive actionable knowledge from legal documents. While a large part of the …

We present the first comprehensive empirical evaluation of pre-trained language models
(PLMs) for legal natural language processing (NLP) in order to examine their effectiveness …

In this paper, we present an entity-centric infrastructure to manage legal documents,
especially court judgments, based on the organization of a textual document repository and …

The legal domain has challenging aspects. One is that legislation is written to regulate an
unpredictable number of cases and, therefore, the language of the law is made of open …

The analysis of big data on public procurement can improve the process of carrying out
public tenders. The goal is to increase the quality and the correctness of the process, the …

In recent years, there has been extensive discourse on the moderation of abusive content
online. Image-based Sexual Abuses (IBSAs) represent a type of abusive content that …

The extraction of named entities from court judgments is useful in several downstream
applications, such as document anonymization and semantic search engines. In this paper …

Text classification has a wide range of applications in today's world including filtering spam
emails, identifying health conditions, categorizing news articles, business intelligence, and …

The main purpose of this research is to develop a method to model the criminal code by its
essence to serve a legal reasoning-enable expert system. Ontology combines a hierarchi …