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A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives
Nanda, Rohan; Di Caro, Luigi; Boella, Guido et al.
2017In A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Nanda, Rohan
Di Caro, Luigi
Boella, Guido
Konstantinov, Hristo
Tyankov, Tenyo
Traykov, Daniel
Hristov, Hristo
Costamagna, Francesco
Humphreys, Llio
Robaldo, Livio ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Romano, Michele
External co-authors :
yes
Language :
English
Title :
A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives
Publication date :
2017
Event name :
The 16th International Conference on Artificial Intelligence and Law
Event date :
from 12-6-2017 to 16-6-2017
Main work title :
A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 690974 - MIREL - MIREL - MIning and REasoning with Legal texts
Funders :
CE - Commission Européenne [BE]
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since 04 August 2017

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