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SUMMARY:Generalised measures of predictive uncertainty in online language 
 processing - Mario Giulianelli (UCL)
DTSTART:20260306T120000Z
DTEND:20260306T130000Z
UID:TALK242722@talks.cam.ac.uk
CONTACT:Suchir Salhan
DESCRIPTION:I will present a family of sampling-based uncertainty measures
  that generalise surprisal and allow expressing a wider range of hypothese
 s about the workings of incremental language processing. I will show how t
 hese uncertainty measures\, estimated via Monte Carlo sampling with neural
  network language models\, exhibit predictive power comparable or superior
  to surprisal for a range of human neural and behavioural responses to inc
 remental linguistic input.\n\n**Speaker Bio:** Mario Giulianelli is an Ass
 ociate Professor of Computational Linguistics at UCL\, Director of the UCL
  Computational Linguistics Master’s programme\, and a Member of the Euro
 pean Laboratory for Learning and Intelligent Systems. His research explore
 s the information processing principles underlying the ability to understa
 nd\, produce\, learn\, and use language in interaction—both in human and
  in artificial language processing systems.
LOCATION:SS03 Hybrid (In-Person + Online). Here is the Google Meet Link: h
 ttps://meet.google.com/cru-hcuo-rhu
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