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.
Related projects:	Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization) Centrum komputační lingvistiky Prostředky tvorby komplexní báze znalostí pro komunikaci se sémantickým webem v přirozeném jazyce