omarsar/nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
This resource helps researchers, students, and practitioners understand modern deep learning techniques used in Natural Language Processing (NLP). It provides theoretical descriptions, implementation details, and state-of-the-art results for various NLP tasks like machine translation, question answering, and dialogue systems. The audience for this project is anyone interested in learning about or staying updated on NLP research and applications.
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Use this if you need a comprehensive, up-to-date guide to the latest deep learning models and their applications in natural language processing.
Not ideal if you are looking for an off-the-shelf tool or software to directly process text data without learning the underlying techniques.
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Mar 25, 2020
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