Abstract
In this paper we propose an innovative approach for User-driven retrieval of Telecom and IT resources over converged environments, which brings together traditional NLP techniques with search and selection process based on lightweight semantic technologies, aimed at ordinary end users. The preliminary experiments show promising results in contrast to traditional approaches.
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Pedraza, E.C., Zúñiga, J.A., Suarez-Meza, L.J., Corrales, J.C. (2012). User-Driven Automatic Resource Retrieval Based on Natural Language Request. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds) Natural Language Processing and Information Systems. NLDB 2012. Lecture Notes in Computer Science, vol 7337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31178-9_22
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DOI: https://doi.org/10.1007/978-3-642-31178-9_22
Publisher Name: Springer, Berlin, Heidelberg
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