The digitalisation of the regulatory compliance process has been an active area of research
for several decades. However, more recently the level of activities in this area has increased …

Tools must be developed to help draft, consult, and explore textual legal sources. Between
statistical information retrieval and the formalization of textual rules for automated legal …

Legal formalization is a necessary step for automated legal reasoning because it aims to
capture the meaning of legal texts in a machine-readable form. Therefore, there are many …

A key challenge in making a transparent formalization of a legal text is the dependency on
two domain experts. While a legal expert is needed in order to interpret the legal text, a …

We present an end-to-end system for extracting deontic logic formulae from legal text using
a generic semantic parsing module and task-specific graph grammars, and for performing …

Scribe is a legal judgment annotation platform. Its objective is to improve dataset quality for
machine learning models, to make annotation task faster and easier, and to boost …

The formalization of legal texts is an important step in order to be able to improve law's
consistency, or to automate several legal tasks such as reasoning or answering legal …

This paper presents research on a prototype developed to serve the quantitative study of
public policy design. This sub-discipline of political science focuses on identifying actors …

This paper explores the automatic knowledge extraction of formal institutional design-norms,
rules, and actors-from international agreements. The focus was to analyze the relationship …

This paper explores the automatic knowledge extraction of formal institutional design-norms,
rules, and actors-from international agreements. The focus was to analyze the relationship …