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Deep Learning applied to NLP

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arxiv 1703.03091 v1 pith:EBXJ7LQR submitted 2017-03-09 cs.CL

Marc Moreno Lopez , Jugal Kalita This is my paper · ORCID
classification cs.CL
keywords cnnsappliedbeencomputervisionassociatedbasicsbreakthroughs
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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.

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    A self-feedback training framework that refines loss landscapes with dynamically generated soft labels finds more consistent flat minima and improves domain generalization accuracy across five benchmarks.

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