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CATEGORIES:Frontiers in Artificial Intelligence Series
SUMMARY:How Can NLP Help Cure Cancer?  - Regina Barzilay M
 assachusetts Institute of Technology
DTSTART;TZID=Europe/London:20170810T130000
DTEND;TZID=Europe/London:20170810T140000
UID:TALK73841AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/73841
DESCRIPTION:Majority of cancer research today takes place in b
 iology and medicine. Computer science plays a mino
 r supporting role in this process if at all. In th
 is talk\, I hope to convince you that NLP as a fie
 ld has a chance to play a significant role in this
  battle. Indeed\, free-form text remains the prima
 ry means by which physicians record their observat
 ions and clinical findings. Unfortunately\, this r
 ich source of textual information is severely unde
 rutilized by predictive models in oncology. Curren
 t models rely primarily only on structured data.\n
 In the first part of my talk\, I will describe a n
 umber of tasks where NLP-based models can make a d
 ifference in clinical practice. For example\, thes
 e include improving models of disease progression\
 , preventing over-treatment\, and narrowing down t
 o the cure. This part of the talk draws on active 
 collaborations with oncologists from Massachusetts
  General Hospital (MGH).\nIn the second part of th
 e talk\, I will push beyond standard tools\, intro
 ducing new functionalities and avoiding annotation
 -hungry training paradigms ill-suited for clinical
  practice. In particular\, I will focus on interpr
 etable neural models that provide rationales under
 lying their predictions\, and semi-supervised meth
 ods for information extraction. \n
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station R
 oad\, Cambridge\, CB1 2FB
CONTACT:Microsoft Research Cambridge Talks Admins
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