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|a AI and deep learning for NLP :
|b tools and techniques for the enterprise.
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|a Artificial Intelligence and deep learning for Natural Language Processing
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|a [Place of publication not identified] :
|b O'Reilly Media,
|c 2017.
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|a Presenters, Jennifer Chu-Carroll, Kristian J. Hammond, Yishay Carmiel, Mohamed Musbah, Jonathan Mugan.
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|a Title and publication information from resource description page (Safari, viewed September 29, 2017).
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|a Beyond the state of the art in reading comprehension / Jennifer Chu-Carroll -- What, how and why : the dynamic of advanced NLG / Kristian Hammond -- Conversational AI at large scale / Yishay Carmiel -- Bigger than bots : machine reading and writing in enterprise / Mohamad Musbah -- Adding meaning to natural language processing / Jonathan Mugan.
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|a "Natural language processing (NLP) involves the application of machine learning and other statistical techniques to derive insights from language. As the volume of text-based data, such as documents, tweets, and email, continues to grow, techniques in natural language processing are becoming central to modern intelligent applications. This video will bring you up-to-speed on the state of NLP, and explore current approaches to integrate AI and deep learning at scale for NLP. You'll learn strategies for moving from proof of concept to a full-scale product, understand key techniques in NLP, and learn how to integrate these techniques based on the goals for your business. In this series of five curated talks from O'Reilly's Artificial Intelligence Conference in New York, June 2017, you'll join a group of experts in the field of AI to discover deep learning breakthroughs for conversational AI, understand the technologies involved with this emerging field, and learn what is possible with current NLP techniques."--Resource description page
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|a Beyond the state of the art in reading comprehension.
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740 |
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|a What, how and why : the dynamic of advanced NLG.
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|a Conversational AI at large scale.
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