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CATEGORIES:NLIP Seminar Series
SUMMARY:NLP for Science: Advances and Challenges - Tom Hop
 e (Allen Institute for AI\, Hebrew University of J
 erusalem)
DTSTART;TZID=Europe/London:20221107T110000
DTEND;TZID=Europe/London:20221107T120000
UID:TALK192326AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/192326
DESCRIPTION:Abstract:\nWith over one million papers added ever
 y year to the PubMed biomedical index alone — the 
 explosion of scholarly knowledge presents tremendo
 us opportunities for accelerating research across 
 the sciences. However\, the complexity of scientif
 ic literature presents formidable challenges for e
 xisting AI and NLP technologies\, limiting our abi
 lity to tap into this vast treasure trove of infor
 mation. In this talk\, I will present our recent w
 ork toward helping researchers and clinicians make
  use of knowledge embedded in the literature. I wi
 ll highlight methods that help discover new direct
 ions and solutions to problems\, generate hypothes
 es\, make predictions and decisions\, and build co
 nnections across different ideas and areas. This i
 ncludes models that predict clinical outcomes of h
 ospital patients and new links in biomedical knowl
 edge graphs\, a novel scientific information retri
 eval method that achieves state-of-the-art results
 \, and challenging new datasets for scientific IE.
  I will also present recent exploratory search and
  recommendation engines we have developed\, and di
 scuss important challenges and opportunities towar
 d AI-powered augmentation of human scientists.\n\n
 Bio:\nTom Hope is a new assistant professor at The
  Hebrew University of Jerusalem's School of Comput
 er Science and Engineering\, and a visiting resear
 ch scientist at The Allen Institute for AI (AI2). 
 Tom was awarded the 2022 Azrieli Early Career Facu
 lty Fellowship which is given to eight scientists 
 across all fields of study. Prior to that he was a
  postdoctoral researcher at AI2 and the University
  of Washington (UW)\, working with Daniel Weld and
  Eric Horvitz. His work has received four best pap
 er awards\, appeared in top AI\, NLP and HCI venue
 s\, and received coverage from Nature and Science.
LOCATION:Computer Lab\, FW11
CONTACT:Michael Schlichtkrull
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