Shallow Ontology Based on VerbaLex

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Authors

GRÁC Marek

Year of publication 2009
Type Article in Proceedings
Conference NLP, Corpus Linguistics Corpus Based Grammar Research
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords translation dictionary nlp
Description Ontologies have proven to be a useful resource in natural language processing. In this paper, we introduce basic ideas of a shallow ontology named Sholva. This ontology is based on VerbaLex, a database of verb valencies, where each valency pointer also contains a pointer into EuroWordnet. We focused our effort on building ontology which would help us in solving real problems in syntactic analysis, word sense disambiguation and machine translation.
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