75 - Reinforcement / Imitation Learning in NLP, with Hal Daumé III
NLP Highlights
00:00
Introduction
Hal Demay is a food professor at the University of Maryland. He's interested in studying how to get computers to learn language through natural interaction with people. Hal: How can you reduce structural prediction problems into re-industrial learning? People who are listening to this podcast, many of them care about structural prediction problems and not many of them probably care about you in those learning.
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