Concept Recognition in European and National Law.

Rohan Nanda; Giovanni Siragusa; Luigi Di Caro; Martin Theobald; Guido Boella; Livio Robaldo; Francesco Costamagna

doi:10.3233/978-1-61499-838-9-193

Concept Recognition in European and National Law.

Rohan Nanda^*, Giovanni Siragusa, Luigi Di Caro, Martin Theobald, Guido Boella, Livio Robaldo, Francesco Costamagna

^*Corresponding author for this work

Research output: Contribution to conference › Paper › Academic

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.

Original language	English
Pages	193-198
DOIs	https://doi.org/10.3233/978-1-61499-838-9-193
Publication status	Published - 2017
Externally published	Yes

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10.3233/978-1-61499-838-9-193

Cite this

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AU - Nanda, Rohan

AU - Siragusa, Giovanni

AU - Caro, Luigi Di

AU - Theobald, Martin

AU - Boella, Guido

AU - Robaldo, Livio

AU - Costamagna, Francesco

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2017

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N2 - 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.

AB - 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.

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