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DTSTART:20151025T030000
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DTSTART:20160327T020000
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UID:calendar.7199.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260411T142349Z
CREATED:20151124T161000Z
DESCRIPTION:In 2009\, the Defense Advanced Research Projects Agency (DARPA)
  initiated what was intended to be a 5-year project (though in the end\, i
 t lasted only 3) aimed at exploring the principles behind the design and i
 mplementation (at least in prototype form) of systems that could take more
 -or-less arbitrary 'factually informative' English text and understand it.
  I had the honor and privilege of being the Principal Investigator of the 
 SRI-led team\, one of three large teams in the Program. That privilege mea
 nt I didn't really have to do any actual work\, beyond (i) being ultimatel
 y responsible for the progress of the team and for reporting said progress
  to DARPA and (ii) that honor mean I was free to think large-ish thoughts 
 about how one should conceive of the goals of such a project and how to pu
 t our team's approach\, focused on large-scale joint inference\, into a wi
 der research context. I promise I will not talk about (i) in this seminar\
 ; so if you've read and understood this abstract\, you should know what I 
 will be talking about. DAVID J. ISRAEL Director of the Natural Language Pr
 ogram Artificial Intelligence Center Information and Computing Sciences Di
 vision SRI International
DTSTART;TZID=Europe/Paris:20151218T143000
DTEND;TZID=Europe/Paris:20151218T143000
LAST-MODIFIED:20190805T155749Z
LOCATION:Aula Magna
SUMMARY:Machine Reading: Goals and Approaches - David Israel (SRI) - David 
 Israel (Stanford Research Institute)
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/7199
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