New Deep Learning Techniques 2018
“Toward natural language semantics in learned representations”
Sam Bowman, New York University
Abstract: Deep learning methods now represent the state of the art in most large-scale applied language understanding tasks, but there is little evidence that they have attained the kind of robust, task-independent language understanding ability that humans demonstrate. This talk presents experiments which are meant to both measure and advance progress toward this goal, organized around the task of recognizing textual entailment.
Institute for Pure and Applied Mathematics, UCLA
February 5, 2018
For more information: http://www.ipam.ucla.edu/programs/workshops/new-deep-learning-techniques/?tab=overview
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2018-02-16 22:28:08
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UCGzuiiLdQZu9wxDNJHO_JnA
Institute for Pure & Applied Mathematics (IPAM)
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