NLGbAse: A Free Linguistic Resource for Natural Language Processing Systems

Eric Charton, Juan-Manuel Torres-Moreno

Abstract
Availability of labeled language resources, such as annotated corpora and domain dependent labeled language resources is crucial for experiments in the field of Natural Language Processing. Most often, due to lack of resources, manual verification and annotation of electronic text material is a prerequisite for the development of NLP tools. In the context of under-resourced language, the lack of copora becomes a crucial problem because most of the research efforts are supported by organizations with limited funds. Using free, multilingual and highly structured corpora like Wikipedia to produce automatically labeled language resources can be an answer to those needs. This paper introduces NLGbAse, a multilingual linguistic resource built from the Wikipedia encyclopedic content. This system produces structured metadata which make possible the automatic annotation of corpora with syntactical and semantical labels. A metadata contains semantical and statistical informations related to an encyclopedic document. To validate our approach, we built and evaluated a Named Entity Recognition tool, trained with Wikipedia corpora annotated by our system.
Anthology ID:
L10-1618
Volume:
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
Month:
May
Year:
2010
Address:
Valletta, Malta
Venue:
LREC
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Publisher:
European Language Resources Association (ELRA)
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URL:
http://www.lrec-conf.org/proceedings/lrec2010/pdf/900_Paper.pdf
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Cite (ACL):
Eric Charton and Juan-Manuel Torres-Moreno. 2010. NLGbAse: A Free Linguistic Resource for Natural Language Processing Systems. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).
Cite (Informal):
NLGbAse: A Free Linguistic Resource for Natural Language Processing Systems (Charton & Torres-Moreno, LREC 2010)
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http://www.lrec-conf.org/proceedings/lrec2010/pdf/900_Paper.pdf
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