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How Watson Learns Superhuman Jeopardy! Strategies
Published on Nov 07, 20132837 Views
Major advances in Question Answering technology were needed for Watson to play Jeopardy! at championship level -- the show requires rapid-fire answers to challenging natural language questions, broad
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Chapter list
How Watson Learns Superhuman Jeopardy! Strategies00:00
Outline00:49
Jeopardy! Gameplay Basics03:44
The Jeopardy! Challenge05:13
DeepQA11:30
Watson’s Competitive Record17:18
Four Challenging Aspects of Jeopardy! Strategy20:02
Motivating Quantitative J! Strategy27:07
Why Build a Jeopardy Simulator?29:32
Approach to Modeling Jeopardy!33:57
Components of a J! Game Simulator36:43
Modeling Daily Double Placement39:08
Modeling Human Final Jeopardy40:39
Stochastic Process Model of Regular Clues44:55
Watson’s Daily Double Betting Strategy46:34
Simplified List of “State” Variables47:56
Computing Optimal DD Bet48:49
Illustrative Example of NN DD betting51:03
Demo51:51
NNDD Analysis - 152:52
NNDD Analysis - 253:33
NN DD Performance Metrics55:14
Watson’s Final Jeopardy Betting Strategy57:04
Watson’s Clue Selection Strategy58:43
Daily Double Seeking Animation01:00:07
Endgame Buzz Threshold01:00:57
Dynamic Programming Solution01:01:57
Buzz Threshold -- Illustrative Examples01:03:01
Conclusions01:05:40