Abstract
We report research on semantic relations extraction to build taxonomies. The state of the art approaches are based on text corpus or on domain texts acquisition to accurately characterize the domain of interest. We analyzed the application of unsupervised methods for ontology building using a collection of opinion reviews in Spanish and the Web. We present some results and discuss the obtained relations.
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Galicia-Haro, S.N., Gelbukh, A. (2014). Extraction of Semantic Relations from Opinion Reviews in Spanish. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_18
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DOI: https://doi.org/10.1007/978-3-319-13647-9_18
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