Using Neural Networks for Modeling and Representing Natural Languages

Artificial neural networks are powerful statistical models that have been shown to provide excellent results in a number of domains. In the last few years, the computer vision and automatic speech recognition communities have been heavily influenced by these techniques. Applications to problems that involve natural language, such as machine translation or computational semantics, are becoming mainstream in the NLP research.

This tutorial aims to introduce the basic concepts and provide intuitive understanding of neural networks, including the very popular field of deep learning. This should help the researchers who are entering this field to quickly understand the major tricks of the trade.

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