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SUMMARY:Context Sensitive Distributional Semantics - Stephen McGregor (TCI
 DA\, Goldsmiths)
DTSTART:20180118T110000Z
DTEND:20180118T120000Z
UID:TALK97666@talks.cam.ac.uk
CONTACT:Dimitri Kartsaklis
DESCRIPTION:In this talk I'll discuss a novel approach to the established 
 distributional semantic paradigm for modelling words as vectors in semanti
 cally productive spaces.  Motivated by theoretical insight into the way th
 at word meaning emerges situationally\, this methodology seeks to generate
  ad hoc lexical representations based on context specific input.  I will d
 escribe a technique for projecting lower dimensional semantic subspaces ba
 sed on the idea that semantic contexts can be construed as perspectives on
  a very high dimensional space of co-occurrence statistics.  The expectati
 on is that the geometry of these subspaces will correspond to properties t
 hat are specific to the conceptual context with which they are associated.
   I'll demonstrate how this methodology can be effectively applied to NLP 
 tasks such as analogy completion and word similarity ranking\, and then wi
 ll consider how the methodology might motivate further exploration of vari
 ous features of distributional semantic models.
LOCATION:Boardroom\, Faculty of English\, West Road
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