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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(More)
Proposals for text classification and information retrieval have been recently presented making use of the WordNet ontology. Generally, this methodology requires statistical induction of synset clusters and entails costly training of specific key domains. The present proposal intends to show that a simple recursive evaluation procedure and WordNet are rich(More)
The increase of Internet users all over the world and the subsequent growth of available multilingual information on the Web have brought new challenges to machine translation systems. The Universal Networking Language (UNL) is a metalanguage developed for conveying linguistic expressions in order to encode websites information into a standard(More)
The growing use of computer technologies as well as the amount of available information has posed new challenges to human-machine interaction. Applying natural language processing techniques to information systems has brought advantages to this emerging field. Question-answering (QA) systems have been developed in order to ease the information access(More)
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