1. Introduction - 2. Background and Motivation - 3. The Term Extraction Approach - 4. Experiments and Results - 5. Evaluation - 5.1. General Evaluation Criteria - 5.2. Discussion of Results - 6. Conclusio
Proceedings of the 2nd Workshop on Legal Ontologies and Artificial Intelligence Techniques June 4th,...
We describe a methodology for the automatic classification of legal cases expressed in natural langu...
We describe a methodology for the automatic classificationof legal cases expressed in natural ...
Ontology learning in the legal domain rises the well-known problem of epistemological promiscuity be...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
International audienceOntologies represent the standard way to model the knowledge about specific do...
International audienceIn this paper, we present a Wikipedia-based approach to develop resources for ...
This paper shows the multiple relationships between empirical data and semantic content in the legal...
The paper reports on the methodology and preliminary results of a case study in automatically extrac...
Legal ontologies have proved crucial for representing, processing and retrieving legal information, ...
peer reviewedIn this paper, we describe how NLP can semi-automate the construction and analysis of k...
Defence date: 6 December 2011Examining Board: [Prof.] Giovanni Sartor, EUI [Prof.] Dennis Patterso...
For more than a decade constructing ontologies for legal domains, we, at the Leibniz Center for Law,...
International audienceIn this paper, we present an ontology population approach for legal ontologies...
This thesis seeks to address the problem of the 'resource consumption bottleneck' of creating (legal...
Proceedings of the 2nd Workshop on Legal Ontologies and Artificial Intelligence Techniques June 4th,...
We describe a methodology for the automatic classification of legal cases expressed in natural langu...
We describe a methodology for the automatic classificationof legal cases expressed in natural ...
Ontology learning in the legal domain rises the well-known problem of epistemological promiscuity be...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
International audienceOntologies represent the standard way to model the knowledge about specific do...
International audienceIn this paper, we present a Wikipedia-based approach to develop resources for ...
This paper shows the multiple relationships between empirical data and semantic content in the legal...
The paper reports on the methodology and preliminary results of a case study in automatically extrac...
Legal ontologies have proved crucial for representing, processing and retrieving legal information, ...
peer reviewedIn this paper, we describe how NLP can semi-automate the construction and analysis of k...
Defence date: 6 December 2011Examining Board: [Prof.] Giovanni Sartor, EUI [Prof.] Dennis Patterso...
For more than a decade constructing ontologies for legal domains, we, at the Leibniz Center for Law,...
International audienceIn this paper, we present an ontology population approach for legal ontologies...
This thesis seeks to address the problem of the 'resource consumption bottleneck' of creating (legal...
Proceedings of the 2nd Workshop on Legal Ontologies and Artificial Intelligence Techniques June 4th,...
We describe a methodology for the automatic classification of legal cases expressed in natural langu...
We describe a methodology for the automatic classificationof legal cases expressed in natural ...