Paper Info
Title
Concept Recognition in European and National Law.
Abstract
This paper presents a concept recognition system for European and national legislation. Current named entity recognition (NER) systems do not focus on identifying concepts which are essential for interpretation and harmonization of European and national law. We utilized the IATE (Inter-Active Terminology for Europe) vocabulary, a state-of-the-art named entity recognition system andWikipedia to generate an annotated corpus for concept recognition. We applied conditional random fields (CRF) to identify concepts on a corpus of European directives and Statutory Instruments (SIs) of the United Kingdom. The CRF-based concept recognition system achieved an F1 score of 0.71 over the combined corpus of directives and SIs. Our results indicate the usability of a CRF-based learning system over dictionary tagging and state-of-the-art methods.
Year
DOI
Venue
2017
10.3233/978-1-61499-838-9-193
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Concept Recognition,European Law,Information Retrieval
Computer science,Knowledge management,Concept recognition,Legal informatics
Conference
Volume
ISSN
Citations 
302
0922-6389
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Rohan Nanda1123.01
Giovanni Siragusa202.03
Luigi Di Caro319535.21
Martin Theobald410.69
Guido Boella51867162.59
Livio Robaldo626933.46
Francesco Costamagna710.69