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SUMMARY:Modeling Context-sensitive Selectional Preference with Distributed
  Representations - Naoya Inoue (Tohoku University\, Japan)
DTSTART:20170831T100000Z
DTEND:20170831T110000Z
UID:TALK74541@talks.cam.ac.uk
CONTACT:Mohammad Taher Pilehvar
DESCRIPTION:This talk will discuss a novel problem setting of selectional 
 preference (SP) between a predicate and its arguments\, called as context-
 sensitive SP (CSP). CSP models the narrative consistency between the predi
 cate and preceding contexts of its arguments\, in addition to the conventi
 onal SP based on semantic types. Furthermore\, I will present a novel CSP 
 model that extends a neural SP model to incorporate contextual information
  into the distributed representations of arguments. Experiments show that 
 the proposed CSP model successfully learns CSP and outperforms the convent
 ional SP model in coreference cluster ranking.
LOCATION: SR-24\, English Faculty Building\, 9 West Road (Sidgwick Site)
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