On the automatic generation of intermediate logic forms for WordNet glosses

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Abstract

This paper presents an automatically generated Intermediate Logic Form of WordNet's glosses. Our proposed logic form includes neo-Davidsonian reification in a simple and flat syntax close to natural language. We offer a comparison with other semantic representations such as those provided by Hobbs and Extended WordNet. The Intermediate Logic Forms are straightforwardly obtained from the output of a pipeline consisting of a part-of-speech tagger, a dependency parser and our own Intermediate Logic Form generator (all freely available tools). We apply the pipeline to the glosses of WordNet 3.0 to obtain a lexical resource ready to be used as knowledge base or resource for a variety of tasks involving some kind of semantic inference. We present a qualitative evaluation of the resource and discuss its possible application in Natural Language Understanding. © Springer-Verlag 2010.

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Agerri, R., & Peñas, A. (2010). On the automatic generation of intermediate logic forms for WordNet glosses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6008 LNCS, pp. 26–37). https://doi.org/10.1007/978-3-642-12116-6_3

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