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
This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question ans...
A proposal for legal information extraction is described, aiming to auto- matically populate an onto...
Abstract. This paper presents an information system for legal profes-sionals that integrates natural...
In this paper we present the results of an experiment in automatic concept and definition extraction...
Reading, analyzing, and implementing regulatory documents are cumbersome and still mostly manual tas...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
Term extraction is an important task that automatically extracts relative terms from the texts in a ...
This paper examines impressive new applications of legal text analytics in automated contract review...
Legal texts express conditions in natural language describing what is permitted, forbidden or mandat...
To make legal texts machine processable, the texts may be represented as linked documents, semantica...
A legal knowledge based system called JUSTICE is presented which can identify heterogeneous represen...
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expr...
In order to automatically extract information from legal texts we propose the use of a mixed approac...
All computer users needs to deal with End User License Agreements(EULA). Every time we install softw...
This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal...
This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question ans...
A proposal for legal information extraction is described, aiming to auto- matically populate an onto...
Abstract. This paper presents an information system for legal profes-sionals that integrates natural...
In this paper we present the results of an experiment in automatic concept and definition extraction...
Reading, analyzing, and implementing regulatory documents are cumbersome and still mostly manual tas...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
Term extraction is an important task that automatically extracts relative terms from the texts in a ...
This paper examines impressive new applications of legal text analytics in automated contract review...
Legal texts express conditions in natural language describing what is permitted, forbidden or mandat...
To make legal texts machine processable, the texts may be represented as linked documents, semantica...
A legal knowledge based system called JUSTICE is presented which can identify heterogeneous represen...
A key challenge in the legal domain is the adaptation and representation of the legal knowledge expr...
In order to automatically extract information from legal texts we propose the use of a mixed approac...
All computer users needs to deal with End User License Agreements(EULA). Every time we install softw...
This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal...
This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question ans...
A proposal for legal information extraction is described, aiming to auto- matically populate an onto...
Abstract. This paper presents an information system for legal profes-sionals that integrates natural...
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