Abstract
We describe our results in the field of automatic linguistic description of data. Our goal is the design of a new generation of computational applications able to summarize in a few meaningful natural language sentences the meaning of huge amounts of available data about complex phenomena. As part of our research line in this field, we present our advances on selecting relevant sentences in Granular Linguistic Models of Phenomena. The concept is demonstrated using a practical application.
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Menendez, C., Trivino, G. (2012). Selection of the Best Suitable Sentences in Linguistic Descriptions of Data. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31715-6_32
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DOI: https://doi.org/10.1007/978-3-642-31715-6_32
Publisher Name: Springer, Berlin, Heidelberg
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