Abstract
Knowledge management (ontologies development, disambiguation of words, semantic web, etc.) must extract knowledge from somewhere. The main source of knowledge are natural language texts, in which humans express how they view and conceptualize the world. However, the automatic extraction of knowledge from texts is not a trivial task. In this paper we present a semantic annotated corpus as a source for knowledge extraction. Semantic is the bridge between linguistic input and knowledge (concepts, real world). A corpus with semantic information annotated is a useful resource to extract knowledge from a real context: it is a semi-structured database that offers deep information about human knowledge, concepts and relations between them.
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© 2005 Springer-Verlag Berlin Heidelberg
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Navarro, B., Martínez-Barco, P., Palomar, M. (2005). Semantic Annotation of a Natural Language Corpus for Knowledge Extraction. In: Montoyo, A., Muńoz, R., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2005. Lecture Notes in Computer Science, vol 3513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428817_38
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DOI: https://doi.org/10.1007/11428817_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26031-8
Online ISBN: 978-3-540-32110-1
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