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SUMMARY:Improved Information Search and Extraction from the Fruit Fly Geno
 mics Literature - Ted Briscoe (and many others) Computer Laboratory\, Camb
 ridge
DTSTART:20100609T140000Z
DTEND:20100609T144500Z
UID:TALK25033@talks.cam.ac.uk
CONTACT:Jimena Berni
DESCRIPTION:Web portals like Google Scholar and ScienceDirect have revolut
 ionized access to scientific information by making it possible to identify
  relevant papers via keyword search\, and then to browse them on-line. How
 ever\, as scientific information continues to grow exponentially\, and as 
 (e-)science embraces automation\, keeping abreast of and exploiting the in
 formation in these papers effectively is becoming impossible. I'll demonst
 rate a system which returns sentences and images (rather than PDFs) in res
 ponse to fine-grained queries utilising multifaceted image- and text-based
  constraints constructed interactively and intuitively.\nI'll then outline
  the technology behind the system and describe a\npreliminary evaluation t
 hat suggests it is about 500x more efficient\nthan using Google Scholar an
 d a PDF viewer.
LOCATION:Gurdon Institute Tea Room
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