Cross-lingual legal information retrieval using a WordNet architecture

Dini, Luca; Peters, Wim; Liebwald, Doris; Schweighofer, Erich; Mommers, L.; Voermans, W.J.M.

doi:10.1145/1165485.1165510

Cited by 21 publications

(13 citation statements)

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“…Ontologies can assure the role of explicit specifications of domain's conceptualisations in legal information systems (Bench-Capon & Visser, 1997). Some large and public ontologies, such as Wordnet, have also been used to build legal information systems that can fit the cross-lingual information retrieval needs of both legal professionals and nonprofessionals (Dini et al, 2005).…”

Section: Related Workmentioning

confidence: 99%

Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree

Imeri¹,

Khadraoui²,

Dinh³

et al. 2017

CIS

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This paper aims at presenting a theoretical approach for the representation of legal and ethical information in a personalized way in ICT platforms. The personalization process allows us to adapt the legal information for endusers of ICT platforms. This approach points out the key element for defining a complete legal and ethical corpus of documents. Based on the corresponding scenario, the legal information is selected, filtered and then presented in ICT platforms. For organizating and analyzing this legal and ethical information, we reuse the existing notion of the decision tree and enhance it with a set of legal parameters emerging from legal documents. This legal decision tree will help us to treat different types of legal cases, which may relate to different service scenarios.

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Section: Related Workmentioning

confidence: 99%

Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree

Imeri¹,

Khadraoui²,

Dinh³

et al. 2017

CIS

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show abstract

“…Examples of such projects focus on (a) intelligent ways of interfacing between lay users and legal databases (cf. Dini et al 2005;Van Laarschot et al 2005;Matthijssen 1999;Mommers and Voermans 2005), and (b) translation of rules into natural language question answering systems (cf. Winkels et al 1998).…”

Section: Related Workmentioning

confidence: 99%

“…Also, the nature of legal concepts (and their meanings) has been the subject of literature, explaining similarities and differences between normal concept meaning and legal concept meaning (cf. Bix 1991;Loth 1988Loth , 1992Loth , 2002Mommers 2002;Mommers and Voermans 2005;and Termorshuizen-Arts 2003). Other types of language philosophy, such as argumentation theory and legal semiotics, could, for instance, explain the ratio of certain legal documents.…”

Section: Related Workmentioning

confidence: 99%

“…Legal documents should always be read with the specific context-based (artificial) meaning of such terms in mind; cf. Mommers and Voermans (2005).…”

Section: Outline Of the Translation Modelmentioning

confidence: 99%

“…Identification of concepts and their definitions has been subject of research in, among other ones, the LOIS project (cf. Dini et al 2005, Mommers andVoermans 2005) and other ontology-related research (Ajani et al 2007). Existing lexicons, including WordNets, can be used to compare the definitions of legal concepts with their lexical counterparts, and thus to make explicit 'constructed' legal meanings.…”

Section: Using Ai and Ict Techniquesmentioning

confidence: 99%

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Understanding the law: improving legal knowledge dissemination by translating the contents of formal sources of law

et al. 2009

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Considerable attention has been given to the accessibility of legal documents, such as legislation and case law, both in legal information retrieval (query formulation, search algorithms), in legal information dissemination practice (numerous examples of on-line access to formal sources of law), and in legal knowledge-based systems (by translating the contents of those documents to readyto-use rule and case-based systems). However, within AI & law, it has hardly ever been tried to make the contents of sources of law, and the relations among them, more accessible to those without a legal education. This article presents a theory about translating sources of law into information accessible to persons without a legal education. It illustrates the theory by providing two elaborated examples of such translation ventures. In the first example, formal sources of law in the domain of exchanging police information are translated into rules of thumb useful for policemen. In the second example, the goal of providing non-legal professionals with insight into legislative procedures is translated into a framework for making available sources of law through an integrated legislative calendar. Although the theory itself does not support automating the several stages described, in this article some hints are given as to what such automation would have to look like.

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An Overview of Cross-Language Information Retrieval

Zhang

Zhao

2020

Lecture Notes in Computer Science

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Cross-lingual legal information retrieval using a WordNet architecture

Cited by 21 publications

References 2 publications

Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree

Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree

Understanding the law: improving legal knowledge dissemination by translating the contents of formal sources of law

An Overview of Cross-Language Information Retrieval

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