Website privacy policies are often ignored by Internet users, because these documents tend
to be long and difficult to understand. However, the significance of privacy policies greatly …

Large multi-label text classification is a challenging Natural Language Processing (NLP)
problem that is concerned with text classification for datasets with thousands of labels. We …

Ontology-driven systems with reasoning capabilities in the legal field are now better
understood. Legal concepts are not discrete, but make up a dynamic continuum between …

The dominant privacy framework of the information age relies on notions of “notice and
consent.” That is, service providers will disclose, often through privacy policies, their data …

Abstract The European Union is working towards harmonizing legislation across Europe, in
order to improve cross-border interchange of legal information. This goal is supported for …

In this paper, we examine the use of multi-lingual sentence embeddings to transfer
predictive models for functional segmentation of adjudicatory decisions across jurisdictions …

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 …

Every organization has to deal with operational risks, arising from the execution of a
company's primary business functions. In this paper, we describe a legal knowledge …

In this article, we propose to combine Input/Output logic, a well-known formalism for
normative reasoning, with the reification-based approach of Jerry R. Hobbs. The latter is a …

This paper describes a new concept of legal ontology together with an ontology
development tool, called the European Legal Taxonomy Syllabus (ELTS). The tool is used to …