Deep Learning applied to NLP

Abstract

Convolutional Neural Network (CNNs) are typically associated with Computer Vision. CNNs are responsible for major breakthroughs in Image Classification and are the core of most Computer Vision systems today. More recently CNNs have been applied to problems in Natural Language Processing and gotten some interesting results. In this paper, we will try to explain the basics of CNNs, its different variations and how they have been applied to NLP.

References in corpus (2)

• Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network
• A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network

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