Posts Tagged ‘Automatic processing of legal texts’

Aucher, Boella, & van der Torre on Privacy Policies with Modal Logic: The Dynamic Turn

August 5, 2010

Dr. Guillaume Aucher of the University of Luxembourg Faculty of Sciences, Technology and Communication, Professor Dr. Guido Boella of Università degli Studi di Torino Dipartimento di Informatica , and Professor Dr. Leon van der Torre of the University of Luxembourg Faculty of Sciences, Technology and Communication, have published Privacy Policies with Modal Logic: The Dynamic Turn, in DEON 2010: Proceedings of the 10th International Conference on Deontic Logic in Computer Science, 7-9 July 2010, Fiesole, Italy 196-213 (Guido Governatori & Giovanni Sartor eds., 2010). Here is the abstract:

Privacy policies are often defined in terms of permitted messages. Instead, in this paper we derive dynamically the permitted messages from static privacy policies defined in terms of permitted and obligatory knowledge. With this new approach, we do not have to specify the permissions and prohibitions of all message combinations explicitly. To specify and reason about such privacy policies, we extend a multi-modal logic introduced by Cuppens and Demolombe with update operators modeling the dynamics of both knowledge and privacy policies. We show also how to determine the obligatory messages, how to express epistemic norms, and how to check whether a situation is compliant with respect to a privacy policy. We axiomatize and prove the decidability of our logic.

De Maat & Winkels on Suggesting Model Fragments for Sentences in Dutch Law

August 2, 2010

Emile de Maat and Professor Dr. Radboud Winkels, both of The Leibniz Center for Law of the University of Amsterdam, have published Suggesting Model Fragments for Sentences in Dutch Law , in LOAIT 2010: Proceedings of the 4th Workshop on Legal Ontologies and Artificial Intelligence Techniques, European University Institute, Fiesole, Florence, Italy, July 7th, 2010, at 19-28 (Enrico Francesconi, Simonetta Montemagni, Piercarlo Rossi, and Daniela Tiscornia eds., 2010). Here is the abstract:

A main issue in the field of artificial intelligence and law is the translation of source of law that are written in natural language into formal models of law. This article describes a step in that transformation: the creation of models for individual sentences in a source of law. The approach uses a natural language parse to analyse the sentence, and then translates the resulting parse tree to a formal model, using both generic and law-specific attributes.

Wyner, Towards Annotating and Extracting Textual Legal Case Elements

August 2, 2010

Dr. Adam Wyner of the University of Leeds Centre for Digital Citizenship has published Towards Annotating and Extracting Textual Legal Case Elements, in LOAIT 2010: Proceedings of the 4th Workshop on Legal Ontologies and Artificial Intelligence Techniques, European University Institute, Fiesole, Florence, Italy, July 7th, 2010, at 9-18 (Enrico Francesconi, Simonetta Montemagni, Piercarlo Rossi, and Daniela Tiscornia eds., 2010). Here is the abstract:

In common law contexts, legal cases are decided with respect to precedents rather than legislation as in civil law contexts. Legal professionals must find, analyse, and reason with and about cases drawn from a set of cases (a case base). A range of particular textual elements of a case may be relevant to query and extract. Commercial providers of legal information allow legal professionals to search a case base by keywords and meta data. However, the case base and the search tools are proprietary, of limited, non-extensible functionality, and are restricted access. Moreover, no provider applies natural language processing techniques to the cases for text analysis, XML annotation, or information acquisition. In this paper, we discuss an initial experiment in developing and applying natural language processing tools to cases to produce annotated text which can then support information extraction.

Stede & Kuhn on Identifying the Content Zones of German Court Decisions

May 22, 2010

Professor Dr. Manfred Stede and Florian Kuhn, both of Universität Potsdam Department Linguistik, have published Identifying the Content Zones of German Court Decisions, in Business Information Systems Workshops: BIS 2009 International Workshops, Poznan, Poland, April 27-29, 2009, Revised Papers (2009).

The paper was originally presented at LIT 2009: The 2nd Workshop on Legal Informatics and Legal Information Technology, held 28 April 2009 in Poznan, Poland.

Here is the abstract of the paper:

A central step in the automatic processing of court decisions is the identification of the various content zones, i.e., breaking up the document into functionally independent areas. We assembled a corpus of German court decisions and argue that this genre belongs to the class of semi-structured text documents. Currently, we are implementing zone identification by means of a set of recognition rules, following up on our earlier experiences with a different genre (film reviews).

Wyner on Onto Root Gazetteer

November 26, 2009

Dr. Adam Wyner of the University College London Department of Computer Science has posted detailed notes on Onto Root Gazetteer (ORG), a plugin for GATE, the General Architecture for Text Engineering. This post may be of interest to researchers or developers using GATE for automatic text processing of legal documents.

Dr Wyner explains that “ORG annotates [a] text with respect to [a designated] ontology.” In his post, Dr. Wyner “present[s] User Manual notes for ORG, references to ORG, and some discussion.”


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