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SUMMARY:Learning Semantic Representation from Experience and Language - Pr
 ofessor Gabriella Vigliocco and Dr. Mark Andrews
DTSTART:20090302T140000Z
DTEND:20090302T150000Z
UID:TALK17029@talks.cam.ac.uk
CONTACT:Dr. Luna Filipovic
DESCRIPTION:We present an account of semantic representation that focuses 
 on\ndistinct types of information from which meaning can be learned.  In\n
 particular\, we argue that there are at least two major types of\ninformat
 ion from which we can learn meaning. The first is what we call\nexperienti
 al information. This is data derived both from our sensory-\nmotor interac
 tions with the outside world\, as well as from our\nexperience of own inne
 r states\, particularly our emotions. The second\ntype of information is l
 anguage-based. In particular\, it is derived\nfrom the general linguistic 
 context in which words appear. Semantic\nrepresentations are given\, then\
 , by combining these two types of\ninformation. In the talk we will first 
 provide an overview of this\nproposal\, and then present a Bayesian model 
 detailing how these two\ntypes of information can be integrated with one a
 nother in a\nstatistically optimal manner.\n
LOCATION:English Faculty Lecture Room GR-06/07
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