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Closing Gaps in Natural Language Processing May Help Solve World’s Tough Problems

Closing Gaps in Natural Language Processing May Help Solve World’s Tough Problems

FromThe AI in Business Podcast


Closing Gaps in Natural Language Processing May Help Solve World’s Tough Problems

FromThe AI in Business Podcast

ratings:
Length:
29 minutes
Released:
Apr 17, 2016
Format:
Podcast episode

Description

People often mark progress by what they see, but there’s often much more going on behind the scenes, the up and coming, that marks actual current progress in any particular field. The same can said to be true for natural language processing, and Dr. Dan Roth’s research in this field makes him privy to the advancements that most of us are bound to miss. In this episode, Dr. Dan Roth explains what the last 10 years of progress in natural language processing (NLP) have brought us, what’s happening with approaches in developing this technology today, and what the next steps might be in a computer capable of real conversational speech and understanding language in context.
Released:
Apr 17, 2016
Format:
Podcast episode

Titles in the series (100)

Learn what's possible - and what's working - with artificial intelligence in the enterprise. Each week, Emerj founder Daniel Faggella interviews top AI and machine learning-focused executives and researchers in sectors like Pharma, Banking, Retail, Defense, and more. Discover trends, learn about what's working now, and learn how to adapt and thrive in an era of AI disruption. Be sure to subscribe to "AI in Industry."