Automatic extraction of legal concepts and definitions

Radboud Winkels; Rinke Hoekstra

doi:10.3233/978-1-61499-167-0-157

Automatic extraction of legal concepts and definitions

Radboud Winkels, Rinke Hoekstra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Scopus citations

Abstract

In this paper we present the results of an experiment in automatic concept and definition extraction from written sources of law using relatively simple natural language and standard semantic web technology. The software was tested on six laws from the tax domain.

Original language	English
Title of host publication	Legal Knowledge and Information Systems. JURIX 2012
Subtitle of host publication	The Twenty-Fifth Annual Conference
Publisher	IOS Press BV
Pages	157-166
Number of pages	10
ISBN (Print)	9781614991663
DOIs	https://doi.org/10.3233/978-1-61499-167-0-157
State	Published - 2012
Externally published	Yes

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	250
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Keywords

annotation
MetaLex
NLP
Semantic Web
version management
Wordnet

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10.3233/978-1-61499-167-0-157

Cite this

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title = "Automatic extraction of legal concepts and definitions",

abstract = "In this paper we present the results of an experiment in automatic concept and definition extraction from written sources of law using relatively simple natural language and standard semantic web technology. The software was tested on six laws from the tax domain.",

keywords = "annotation, MetaLex, NLP, Semantic Web, version management, Wordnet",

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Automatic extraction of legal concepts and definitions. / Winkels, Radboud; Hoekstra, Rinke.
Legal Knowledge and Information Systems. JURIX 2012: The Twenty-Fifth Annual Conference. IOS Press BV, 2012. p. 157-166 (Frontiers in Artificial Intelligence and Applications; Vol. 250).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hoekstra, Rinke

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AB - In this paper we present the results of an experiment in automatic concept and definition extraction from written sources of law using relatively simple natural language and standard semantic web technology. The software was tested on six laws from the tax domain.

KW - annotation

KW - MetaLex

KW - NLP

KW - Semantic Web

KW - version management

KW - Wordnet

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DO - 10.3233/978-1-61499-167-0-157

M3 - Contribución a la conferencia

AN - SCOPUS:84873118034

SN - 9781614991663

T3 - Frontiers in Artificial Intelligence and Applications

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PB - IOS Press BV

ER -

Automatic extraction of legal concepts and definitions

Abstract

Publication series

Keywords

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