Automatic Extraction of Legal Concepts and Definitions

R.G.F. Winkels; R.J. Hoekstra

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

Automatic Extraction of Legal Concepts and Definitions

R.G.F. Winkels
, R.J. Hoekstra

Research output: Contribution to Journal › Article › Academic › peer-review

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. © 2012 The authors and IOS Press. All rights reserved.

Original language	English
Pages (from-to)	157-166
Journal	Frontiers in Artificial Intelligence and Applications
Volume	250
DOIs	https://doi.org/10.3233/978-1-61499-167-0-157
Publication status	Published - 2012
Event	Jurix - Amsterdam Duration: 1 Jan 2012 → 1 Jan 2012

Bibliographical note

Proceedings title: Legal Knowledge and Information Systems, Jurix 2012: the Twenty-Fifth Annual International Conference
Publisher: IOS Press
Place of publication: Amsterdam
ISBN: 978-1-61499-166-3
Editors: B. Schäfer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

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

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Cite this

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title = "Automatic Extraction of Legal Concepts and Definitions",

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author = "R.G.F. Winkels and R.J. Hoekstra",

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AU - Hoekstra, R.J.

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U2 - 10.3233/978-1-61499-167-0-157

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

M3 - Article

SN - 0922-6389

VL - 250

SP - 157

EP - 166

JO - Frontiers in Artificial Intelligence and Applications

JF - Frontiers in Artificial Intelligence and Applications

T2 - Jurix

Y2 - 1 January 2012 through 1 January 2012

ER -

Automatic Extraction of Legal Concepts and Definitions

Abstract

Bibliographical note

UN SDGs

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