Named entity recognition in the Miskolc legal corpus

Üveges, István: Named entity recognition in the Miskolc legal corpus. In: Magyar Számítógépes Nyelvészeti Konferencia, (13). pp. 113-122. (2019)

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Abstract

In this paper, a brief study will be presented with regard to the issue of Named Entity Recognition (NER) in legal texts. To get an overall picture, we examined closely the output of two existing analysers: the “magyarlanc” linguistic processing toolkit [1] and a Named Entity Recognition system developed by the Natural Language Processing Group at the University of Szeged [2]. Firstly, short references are made to named entity recognition projects in the literature considered important in the current framework. Secondly, quantitative analyses of the data will be presented. At the end of the study, some problematic cases and potential solutions will be discussed which will be followed by the discussion of the future research.

Item Type: Article
Journal or Publication Title: Magyar Számítógépes Nyelvészeti Konferencia
Date: 2019
Volume: 13
ISBN: 978-963-315-393-2
Page Range: pp. 113-122
Event Title: Magyar Számítógépes Nyelvészeti Konferencia (15.) (2019) (Szeged)
Uncontrolled Keywords: Nyelvészet - számítógép alkalmazása
Additional Information: Bibliogr.: p. 121-122. ; összefoglalás angol nyelven
Date Deposited: 2019. Jul. 03. 12:18
Last Modified: 2019. Jul. 03. 12:19
URI: http://acta.bibl.u-szeged.hu/id/eprint/59078

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