Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia (CROSBI ID 701519)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Alves, Diego ; Thakkar, Gaurish ; Amaral, Gabriel ; Kuculo, Tin ; Tadić, Marko
engleski
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia
With the ever-growing popularity of the field of NLP, the demand for datasets in low resourced- languages follows suit. Following a previously established framework, in this paper1 , we present the UNER dataset, a multilingual and hierarchical parallel corpus annotated for named-entities. We describe in detail the developed procedure necessary to create this type of dataset in any language available on Wikipedia with DBpedia information. The three- step procedure extracts entities from Wikipedia articles, links them to DBpedia, and maps the DBpedia sets of classes to the UNER labels. This is followed by a post-processing procedure that significantly increases the number of identified entities in the final results. The paper concludes with a statistical and qualitative analysis of the resulting dataset.
named-entity ; multilingualism ; data extraction
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Podaci o prilogu
17
2021.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Conference on Digital Curation Technologies (Qurator 2021) Berlin, Germany, February 8th to 12th, 2021
Paschke, Adrian et al.
Berlin:
1613-0073
Podaci o skupu
QURATOR 2021: Conference on Digital Curation Technologies
predavanje
08.02.2021-12.02.2021
Berlin, Njemačka