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SUMMARY:ASKNet: Creating and Evaluating Large Scale Integrated Semantic Ne
 tworks - Brian Harrington\, University of Oxford
DTSTART:20090206T120000Z
DTEND:20090206T130000Z
UID:TALK16608@talks.cam.ac.uk
CONTACT:Johanna Geiss
DESCRIPTION:Extracting semantic information from multiple natural language
  sources and combining that information into a single unified resource is 
 an important and fundamental goal for natural language processing. Large s
 cale resources of this kind can be useful for a wide variety of tasks incl
 uding question answering\, word sense disambiguation and knowledge discove
 ry. A single resource representing the information in multiple documents c
 an provide significantly more semantic information than is available from 
 the documents considered independently. In this talk I will describe the A
 SKNet system\, which extracts semantic information from a large number of 
 English texts\, and combines that information into a large scale semantic 
 network using spreading activation based techniques. I will discuss how th
 e networks are created and integrated\, and also touch on the topics of ev
 aluation and some potential future uses for the ASKNet system. 
LOCATION:SW01\, Computer Laboratory
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