Data analytics provides important tools and methods for processing the data generated
during legal services. This paper aims to provide a systematic survey of the research papers …

Normative texts can be viewed as composed by formal partitions (articles, paragraphs, etc.)
or by semantic units containing fragments of a regulation (provisions). Provisions can be …

Automatic legal text classification systems have been proposed in the literature to address
knowledge extraction from judgments and detect their aspects. However, most of these …

This article seeks to address the problem of the 'resource consumption bottleneck'of creating
legal semantic technologies manually. It describes a semantic role labeling based …

This article presents a methodology for multilingual legal knowledge acquisition and
modelling. It encompasses two comlementary strategies. On the one hand, there is the top …

Governments publish legislation and case law widely in print and on the Web. Such legal
information is provided for human consumption, but the information is usually not available …

Legislation usually lacks a systematic organization which makes the management and the
access to norms a hard problem to face. A more analytic semantic unit of reference …

The paper describes a system for the automatic consolidation of Italian legislative texts to be
used as a support of an editorial consolidating activity and dealing with the following …

The COVID-19 pandemic has witnessed the implementations of exceptional measures by
governments across the world to counteract its impact. This work presents the initial results …

CAVERN, the CAVE Research Network, is an alliance of industrial and research institutions
equipped with CAVE-based virtual reality hardware and high-performance computing …