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SUMMARY:Learning from Past: Bringing Planning Back to Neural Generators - 
 Shashi Narayan (Google Research)
DTSTART:20220225T120000Z
DTEND:20220225T130000Z
UID:TALK170783@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Traditional NLG systems in Reiter and Dale’s vision were inh
 erently grounded and controllable\, thanks to a planning stage which playe
 d a crucial role in ordering and structuring the information\, and in grou
 nding the generation of text to the plan. Modern neural generation systems
  have advanced NLG beyond our imagination\, yet some of the most desired p
 roperties such as grounding and controllability have been lost and are sti
 ll to be mastered.  In this talk\, I will discuss why we need to bring bac
 k planning to neural generation and to make generation systems more ground
 ed\, controllable\, inspectable and trustworthy. I will present several pi
 eces of evidence supporting this direction exploring existing work in data
 -to-text and story generation\, and in summarization.\n\nJoin Zoom Meeting
 \nhttps://cl-cam-ac-uk.zoom.us/j/95478516450?pwd=RGVuOFdmVFBLRzJXbUZ2a0dZR
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LOCATION:Virtual (Zoom)
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