Integration of Linguistic Resources for Verb Classification: FrameNet Frame, WordNet Verb and Suggested Upper Merged Ontology

Authors:
Ian C. Chow;Jonathan J. Webster
Affiliations:
Department of Chinese, Translation and Linguistics, City university of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong;The Halliday Centre for Intelligent Applications of Language Studies City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong
Venue:
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2009

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Abstract

The work described in this paper was originally motivated by the construction of a lexical semantic knowledge base for analysis of Ideational Metafunction of language in Systemic Functional Grammar and the Generalized Upper Model ontology. The work involves mapping FrameNet Frames with Ideational Meanings and instantiating WordNet Verb as the meaning evoking linguistic elements. As the work evolved, the developed method has allowed the assignment of sense-tagged WordNet verb to FrameNet Lexical Units of each Frame. The task is achieved by linking FrameNet Frames with SUMO (Suggested Upper Merged Ontology) concepts. We describe our method of mapping which reuses and integrates linkages between WordNet, FrameNet and SUMO. The generated verb list is furthered examined with WordNet::Similarity, a semantic similarity and relatedness measuring system.