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SUMMARY:NLP for Science: Advances and Challenges - Tom Hope (Allen Institu
 te for AI\, Hebrew University of Jerusalem)
DTSTART:20221107T110000Z
DTEND:20221107T120000Z
UID:TALK192326@talks.cam.ac.uk
CONTACT:Michael Schlichtkrull
DESCRIPTION:Abstract:\nWith over one million papers added every year to th
 e PubMed biomedical index alone — the explosion of scholarly knowledge p
 resents tremendous opportunities for accelerating research across the scie
 nces. However\, the complexity of scientific literature presents formidabl
 e challenges for existing AI and NLP technologies\, limiting our ability t
 o tap into this vast treasure trove of information. In this talk\, I will 
 present our recent work toward helping researchers and clinicians make use
  of knowledge embedded in the literature. I will highlight methods that he
 lp discover new directions and solutions to problems\, generate hypotheses
 \, make predictions and decisions\, and build connections across different
  ideas and areas. This includes models that predict clinical outcomes of h
 ospital patients and new links in biomedical knowledge graphs\, a novel sc
 ientific information retrieval method that achieves state-of-the-art resul
 ts\, and challenging new datasets for scientific IE. I will also present r
 ecent exploratory search and recommendation engines we have developed\, an
 d discuss important challenges and opportunities toward AI-powered augment
 ation of human scientists.\n\nBio:\nTom Hope is a new assistant professor 
 at The Hebrew University of Jerusalem's School of Computer Science and Eng
 ineering\, and a visiting research scientist at The Allen Institute for AI
  (AI2). Tom was awarded the 2022 Azrieli Early Career Faculty Fellowship w
 hich is given to eight scientists across all fields of study. Prior to tha
 t he was a postdoctoral researcher at AI2 and the University of Washington
  (UW)\, working with Daniel Weld and Eric Horvitz. His work has received f
 our best paper awards\, appeared in top AI\, NLP and HCI venues\, and rece
 ived coverage from Nature and Science.
LOCATION:Computer Lab\, FW11
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