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The Battle for the Future of Data Mining
Published on Oct 07, 20149807 Views
Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called 'Google brain', and achieved impressive results in vision, speech recognition, and elsewhere. Yet
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Chapter list
The Battle for the Future of Data Mining00:00
Big Data Tidal Wave00:49
What's Next?01:21
Deep Learning01:27
Some Skepticism about Deep Learning01:33
Outline02:09
What are the limits of Classification and prediction?03:18
Example of State of the Art 03:39
Product Recommendations…05:26
Article08:00
More Challenges for Classification08:30
Fundamental Claim10:58
The Bottom Line12:17
Winograd Schema Challenge (Levesque, 2011)12:56
Just the Facts…14:20
2014 Knowledge Tour Google15:14
2014 Knowledge Tour Google15:43
WolframAlpha15:47
OpenCyc16:03
ConceptNet16:12
Observations from the Tour16:35
III. Machine Reading17:15
Information Extraction (IE)17:22
NELL Lexical Patterns for “haswife”18:34
NELL Lexical Patterns for “haswife”19:19
NELL Knowledge Base19:28
Open Information Extraction (2007)19:51
History of Open IE20:41
History of Open IE21:18
History of Open IE21:32
ReVerb22:13
IV. The Allen Institute for AI (AI2)22:45
Mission + Talent = Impact23:37
AI2 Overview (Nonprofit Research Institute)24:25
Flagship Project: Aristo25:16
Aristo: 4th, 5th, 6th … Grade Science Tests26:29
Factual Knowledge for 4th Grade Science27:08
Summary of our Approach28:02
Geometry Domain (Case Study)29:05
Geometry Diagram Alone30:14
Geometry Text Alone30:17
Need Both Diagram and Text30:22
Diagram Understanding30:25
Experimental Study31:13
“Semantic Scholar” Project31:53
Ambitious Research Investing in Engineering Mindset33:46
Summary35:26
Thank you from AI2!36:36
What is Data Mining?36:45