A proposal for legal information extraction is described, aiming to auto- matically populate an ontology. The experiments were performed over a set of le- gal documents from the European lex site. The proposed approach combines two different processes, namely statistical based and rule-based methodologies, and can be considered an hybrid approach. This methodology showed good results, namely in the precision, recall and f-measure values
The article is devoted to issues related to the use of statistical properties of legal texts for sea...
peer reviewedThis paper presents an AI use-case developed in the project “Study on legislation in th...
The complexity and diversity of government regulations make understanding the regulations a non-triv...
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...
Information extraction from legal documents is an important and open problem. A mixed approach, usin...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
The bureaucratic domain and the legal one, in particular, are characterized by a huge amount of info...
Legal ontologies aim to provide a structured representation of legal concepts and their interconnect...
We describe a system for computer-assisted writing of legal documents via a question-based mechanism...
Abstract. This paper reports the experience of the development and the evaluation of a set of pre-co...
Web legal information retrieval systems need the capability to reason with the knowledge modeled by ...
This paper reports the experience of the development and the evaluation of a set of pre-competitive ...
This thesis seeks to address the problem of the 'resource consumption bottleneck' of creating (legal...
Reading, analyzing, and implementing regulatory documents are cumbersome and still mostly manual tas...
The article is devoted to issues related to the use of statistical properties of legal texts for sea...
peer reviewedThis paper presents an AI use-case developed in the project “Study on legislation in th...
The complexity and diversity of government regulations make understanding the regulations a non-triv...
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...
Information extraction from legal documents is an important and open problem. A mixed approach, usin...
The paper reports on methodology and preliminary results of a case study in automatically extracting...
The bureaucratic domain and the legal one, in particular, are characterized by a huge amount of info...
Legal ontologies aim to provide a structured representation of legal concepts and their interconnect...
We describe a system for computer-assisted writing of legal documents via a question-based mechanism...
Abstract. This paper reports the experience of the development and the evaluation of a set of pre-co...
Web legal information retrieval systems need the capability to reason with the knowledge modeled by ...
This paper reports the experience of the development and the evaluation of a set of pre-competitive ...
This thesis seeks to address the problem of the 'resource consumption bottleneck' of creating (legal...
Reading, analyzing, and implementing regulatory documents are cumbersome and still mostly manual tas...
The article is devoted to issues related to the use of statistical properties of legal texts for sea...
peer reviewedThis paper presents an AI use-case developed in the project “Study on legislation in th...
The complexity and diversity of government regulations make understanding the regulations a non-triv...