Linking European Case Law: BO-ECLI Parser, an Open Framework for the Automatic Extraction of Legal Links

Autor: Tommaso Agnoloni, Lorenzo Bacci, Ginevra Peruginelli, Marc van Opijnen, Jos van den Oever, Monica Palmirani, Luca Cervone, Octavian Bujor, Arantxa Arsuaga Lecuona, Alberto Boada García, Luigi Di Caro, Giovanni Siragusa
Přispěvatelé: A. Wyner, G. Casini, Tommaso Agnoloni, Lorenzo Bacci, Ginevra Peruginelli, Marc van Opijnen, Jos van den Oever, Monica Palmirani, Luca Cervone, Octavian Bujor, Arantxa Arsuaga Lecuona, Alberto Boada García, Luigi Di Caro, Giovanni Siragusa
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: 30th International Conference on Legal Knowledge and Information Systems (JURIX 2017), pp. 113–118, Luxembourg city, 13/12/2017, 15/12/2017
info:cnr-pdr/source/autori:Agnoloni, Tommaso; Bacci, Lorenzo; Peruginelli, Ginevra; van Opijnen, Marc; van den Oever, Jos; Palmirani, Monica; Cervone, Luca; Bujor, Octavian; Arsuaga Lecuona, Arantxa; Boada Garcia, Alberto; Di Caro, Luigi; Siragusa, Giovanni/congresso_nome:30th International Conference on Legal Knowledge and Information Systems (JURIX 2017)/congresso_luogo:Luxembourg city/congresso_data:13%2F12%2F2017, 15%2F12%2F2017/anno:2017/pagina_da:113/pagina_a:118/intervallo_pagine:113–118
Popis: In this paper we present the BO-ECLI Parser, an open framework for the extraction of legal references from case-law issued by judicial authorities of European member States. The problem of automatic legal links extraction from texts is tackled for multiple languages and jurisdictions by providing a common stack which is customizable through pluggable extensions in order to cover the linguistic diversity and specific peculiarities of national legal citation practices. The aim is to increase the availability in the public domain of machine readable references meta-data for case-law by sharing common services, a guided methodology and efficient solutions to recurrent problems in legal references extraction, that reduce the effort needed by national data providers to develop their own extraction solution.
Databáze: OpenAIRE