Named Entity Corpus Construction using Wikipedia and DBpedia Ontology

Younggyun Hahm, Jungyeul Park, Kyungtae Lim, Youngsik Kim, Dosam Hwang, Key-Sun Choi

Abstract
In this paper, we propose a novel method to automatically build a named entity corpus based on the DBpedia ontology. Since most of named entity recognition systems require time and effort consuming annotation tasks as training data. Work on NER has thus for been limited on certain languages like English that are resource-abundant in general. As an alternative, we suggest that the NE corpus generated by our proposed method, can be used as training data. Our approach introduces Wikipedia as a raw text and uses the DBpedia data set for named entity disambiguation. Our method is language-independent and easy to be applied to many different languages where Wikipedia and DBpedia are provided. Throughout the paper, we demonstrate that our NE corpus is of comparable quality even to the manually annotated NE corpus.
Anthology ID:
L14-1540
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2565–2569
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/688_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Younggyun Hahm, Jungyeul Park, Kyungtae Lim, Youngsik Kim, Dosam Hwang, and Key-Sun Choi. 2014. Named Entity Corpus Construction using Wikipedia and DBpedia Ontology. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2565–2569, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Named Entity Corpus Construction using Wikipedia and DBpedia Ontology (Hahm et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/688_Paper.pdf
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