Semantic Processing of Legal Texts

Name: Semantic Processing of Legal Texts
Brand: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
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Where the Language of Law Meets the Law of Language

By: Enrico Francesconi (Editor), Simonetta Montemagni (Editor), Wim Peters (Editor), Daniela Tiscornia (Editor)

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Paperback | 6 May 2010

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252 Pages

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23.5 x 15.5 x 1.27

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ThelegaldomainrepresentsaprimarycandidateforWeb-basedinformationd- tribution,exchangeandmanagement,astesti?edbythenumerouse-government, e-justice and e-democracy initiatives worldwide. The last few years have seen a growing body of research and practice in the ?eld of arti?cial intelligence and law addressing aspects such as automated legal reasoning and argumentation, semantic and cross-languagelegalinformation retrieval, document classi?cation, legal drafting, legal knowledge discovery and extraction. Many e?orts have also been devoted to the construction of legal ontologies and their application to the law domain. A number of di?erent workshops and conferences have been organized on these topics in the framework of the arti?cial intelligence and law community: among them, the ICAIL (International Conference on Arti?cial Intelligence and Law) and the Jurix (International Conference on Legal Knowledge and Inf- mation Systems) conferences; several workshops on legal ontologies have been held by the AI&Law Association (LOAIT) and by the Legal XML Community (LegalXMLWorkshopsandLegalXML Summer School).In allthese events,the topics of languageresourcesand human language technologiesreceiveincreasing attention. The situation is quite di?erent within the computational linguistics com- nity, where little attention has been paid to the legal domain besides a few isolated contributions and/or projects focussing on the processing of legal texts.

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Legal Text Processing and Information Extraction
Legal Language and Legal Knowledge Management Applications	p. 3
Named Entity Recognition and Resolution in Legal Text	p. 27
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents	p. 44
Approaches to Text Mining Arguments from Legal Cases	p. 60
Legal Text Processing and Construction of Knowledge Resources
Automatic Identification of Legal Terms in Czech Law Texts	p. 83
Integrating a Bottom-Up and Top-Down Methodology for Building Semantic Resources for the Multilingual Legal Domain	p. 95
Ontology Based Law Discovery	p. 122
Multilevel Legal Ontologies	p. 136
Legal Text Processing and Semantic Indexing, Summarization and Translation
Semantic Indexing of Legal Documents	p. 157
Automated Classification of Norms in Sources of Law	p. 170
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain	p. 192
An Automatic System for Summarization and Information Extraction of Legal Information	p. 216
Evaluation Metrics for Consistent Translation of Japanese Legal Sentences	p. 235
Author Index	p. 249
Table of Contents provided by Ingram. All Rights Reserved.

Semantic Processing of Legal Texts

Where the Language of Law Meets the Law of Language

At a Glance

Paperback

Shipping

How to return your order

Defective items

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