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SUMMARY:How far have we come in giving our NLU systems common sense? - Nas
 rin Mostafazadeh (Verneek)
DTSTART:20201106T150000Z
DTEND:20201106T160000Z
UID:TALK152368@talks.cam.ac.uk
CONTACT:Guy Aglionby
DESCRIPTION:Abstract: \nCommonsense reasoning has been a long-established 
 area in AI for more than three decades. Despite the lack of much ongoing e
 ffort in this area after the 80s\, recently there has been a renewed inter
 est in the AI community for giving machines common sense\, acknowledging i
 t as the holy grail of AI. With the tremendous recent progress in natural 
 language understanding (NLU)\, the lack of commonsense reasoning capabilit
 ies of NLU systems is more evident than ever. In this talk\, I’ll discus
 s the amazing recent progress made in tackling commonsense reasoning bench
 marks using the gigantic pre-trained neural models. I’ll talk about the 
 role of benchmarks in measuring our progress and how we can move the goal 
 post. Constructing coherent mental models of narratives that an NLU system
  reads\, through establishing the chain of causality of implicit and expli
 cit events and states\, is a promising step forward.\n\nBio:\nNasrin is Co
 -founder of Verneek\, a brand new AI startup that is striving to change th
 e way non-technical people can leverage their ever-growing sources of data
 . Before Verneek\, Nasrin held senior research positions at AI startups Be
 nevolentAI and Elemental Cognition and earlier at Microsoft Research and G
 oogle. She received her PhD at the University of Rochester working at the 
 conversational interaction and dialogue research group\, with her PhD work
  focused on commonsense reasoning through the lens of story understanding.
  She has started lines of research that push AI toward deeper understandin
 g and having common sense\, with applications ranging from storytelling to
  vision & language. She has been a keynote speaker\, chair\, organizer\, a
 nd program committee member at different AI venues. Nasrin was named to Fo
 rbes’ 30 Under 30 in Science 2019 for her work in AI.\n\nhttps://cl-cam-
 ac-uk.zoom.us/j/91627990884?pwd=RFFJdUJPLzlERm9NWVRLZ1I0aDBRQT09\nMeeting 
 ID: 916 2799 0884\nPasscode: 873639
LOCATION:Virtual (Zoom)
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