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Modern Natural Language Processing with Deep Learning Training
Training Description
The main goal of course is to provide a comprehensive details on the recent advances
in deep learning applied to NLP. The session presents state of the art of NLP-centric deep learning research, and focuses on the role of deep learning played in major NLP applications including spoken language understanding, dialog systems,lexical analysis, parsing, knowledge graph, machine translation, question answering, sentiment analysis, social computing, and natural language generation (from images).
Case studies
Techniques
Key skills
Pre-requisites
Instructional Method
Topics
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