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From text to Content. Computational Lexicons and the Semantic Web
No full textThe vision of the Semantic Web is to turn the World Wide Web
into a machine-understandable knowledge base. According to this view, Web content is annotated with respect to particular ontologies, which provide the definition of the basic vocabulary and semantics of the annotations. In this paper we
will argue that strengthening the synergies between ontology design and computational lexicon development is a key precondition for the Semantic Web and HLT communities to truly benefit of each other’s results
SIMPLE: Plurilingual Semantic Lexicons for Natural Language Processing
No full textOne of the main challenges for computational lexical semantics is to bridge the gap between on the one hand theoretical research on the organization of the lexicon and on the formal representation of word meaning, and on the other hand the increasing request by natural language processing systems of accessing large repositories of lexical knowledge. Starting from some recent extensions of Generative Lexicon theory, we present a general model for the development of a set of large-scale lexical resources developed in the context of the SIMPLE project. SIMPLE is an innovative attempt to build harmonized syntactic-semantic lexicons for twelve European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model for the encoding of a large amount of semantic information, spanning from ontological typing, to argument structure and terminology
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