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Using Recurrent Neural Network for Learning Expressive Ontologies

14 July 2016
Giulio Petrucci
Chiara Ghidini
M. Rospocher
ArXiv (abs)PDFHTML
Abstract

Recently, Neural Networks have been proven extremely effective in many natural language processing tasks such as sentiment analysis, question answering, or machine translation. Aiming to exploit such advantages in the Ontology Learning process, in this technical report we present a detailed description of a Recurrent Neural Network based system to be used to pursue such goal.

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