Named entity recognition in the Miskolc legal corpus
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 deve...
Elmentve itt :
| Szerző: | |
|---|---|
| Testületi szerző: | |
| Dokumentumtípus: | Könyv része |
| Megjelent: |
2019
|
| Sorozat: | Magyar Számítógépes Nyelvészeti Konferencia
15 |
| Kulcsszavak: | Nyelvészet - számítógép alkalmazása |
| Online Access: | http://acta.bibl.u-szeged.hu/59078 |
| Tartalmi kivonat: | 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. |
|---|---|
| Terjedelem/Fizikai jellemzők: | 113-122 |
| ISBN: | 978-963-315-393-2 |