Abstract
This paper presents a semi-automatic approach for extracting knowledge from natural language texts in Spanish. The knowledge is acquired and learned through the combination of NLP techniques for analyzing text fragments, the ontological technology for representing knowledge and MCRDR, a case-based reasoning methodology. This approach has been applied in the oncology domain and the results of this application are discussed in this work.
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Valencia-García, R., Castellanos-Nieves, D., Fernández-Breis, J.T., Vivancos-Vicente, P.J. (2006). A Methodology for Extracting Ontological Knowledge from Spanish Documents. 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_8
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DOI: https://doi.org/10.1007/11671299_8
Publisher Name: Springer, Berlin, Heidelberg
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