This paper presents a Web editor (RAWE: Rules Advanced Web Editor) for marking up legal rules starting from legally binding texts. The Web editor exploits the legal information embedded in the Akoma Ntoso markup, in combination with and XML techniques, so as to help the legal-knowledge engineer model legal rules and convert them into LegalRuleML, an OASIS XML standard candidate.

We describe the construction of two corpora in the domain of Swiss legal texts: The DS21 corpus is based on the Collection of Swiss Law Sources and contains historical legal texts from the early Middle Ages up to 1798; the Swiss Legislation Corpus (SLC) is based on the Classified Compilation of Swiss Federal Legislation and contains all current Swiss federal laws. The paper summarizes the key p...

In many contexts, automatic analyzers cannot fully disambiguate a sentence or an utterance reliably, but can produce ambiguous results containing the correct interpretation. It is useful to study vatious properties of these ambiguities in the view of subsequent total or partial interactive disambiguation. We have proposed a technique for labelling ambiguities in texts and in dialogue transcript...

This paper presents the automatic translation management system known as TransLI developed for machine translation of Court judgments from English to French and from French to English. NLP’s solution addresses our clientele’s volume and time management issues. TransLI’s statistical algorithm has been trained on a large corpus of legal documents as to significantly reduce production time and cos...

This paper describes a collaborative modeling environment to support the analysis and interpretation of statutory texts, i.e., laws. The paper performs a case study on formalizing the product liability act and proposes a data-centric process that enables the formalization of laws. The implemented application integrates state-of-the-art text mining technologies to assist legal experts during the...

Interoperability is a crucial issue, as large scale applications mainly depend on the possibility of mapping and connecting different models and structures. In the context of public services organization, achieving interoperability among public sector information means, on the one hand (back office), enabling dialogue among public offices, sharing data, standardising structures and models, conn...

The paper reports on the methodology and preliminary results of a case study in automatically extracting ontological knowledge from Italian legislative texts. We use a fully–implemented ontology learning system (T2K) that includes a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine language learning. Tools are dynamically integrated to provide an incr...