Abstract
This paper argues that wordnets, being concept-based computational lexica, should include information on event and argument structures. This general approach is relevant both for allowing computational grammars to cope with a number of different lexical semantics phenomena, as well as for enabling inference applications to obtain finer-grained results. We also propose new relations in order to adequately model non explicit information and cross-part-of-speech relations.
The research reported in this paper has been partially supported by Instituto Camões, Fundação Calouste Gulbenkian, and Fundação para a Ciência e Tecnologia through the WordNet.PT, UniNet.PT, and COMPGRAM projects.
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Amaro, R., Chaves, R.P., Marrafa, P., Mendes, S. (2006). Enriching Wordnets with New Relations and with Event and Argument Structures. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299_3
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DOI: https://doi.org/10.1007/11671299_3
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