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SUMMARY:Two robust semi-supervised learning algorithms for natural languag
 e processing - Anders Søgaard\, University of Copenhagen
DTSTART:20101119T120000Z
DTEND:20101119T130000Z
UID:TALK27982@talks.cam.ac.uk
CONTACT:Thomas Lippincott
DESCRIPTION:Labeled data is often short in supply in natural language proc
 essing\, but semi-supervised learning of structured variables is a difficu
 lt task. Positive results often rely on extensive parameter-tuning. In thi
 s talk\, I present two new semi-supervised learning algorithms that have s
 hown to be very robust across applications and datasets with no or fixed p
 arameters.
LOCATION:FW11\, Computer Laboratory
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