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SUMMARY:Chinese CCGbank: Deep derivations and dependencies for Chinese CCG
  parsing - Daniel Tse\, The University of Sydney
DTSTART:20130816T110000Z
DTEND:20130816T120000Z
UID:TALK46566@talks.cam.ac.uk
CONTACT:Tamara Polajnar
DESCRIPTION:We adapt the corpus conversion methodology harnessed by Hocken
 maier for CCGbank\, to obtain Chinese CCGbank\, the first wide-coverage CC
 G corpus of Chinese text.\n\nWe show that the corpus conversion methodolog
 y\, and thus Chinese CCGbank\, is appropriate for acquiring wide-coverage 
 models of Chinese syntax\, by adapting three state-of-the-art Chinese pars
 ers to obtain the first Chinese CCG parsing models in the literature.\n\n\
 nWe demonstrate that while the three parsers are only separated by a small
  margin trained on English CCGbank\, a substantial gulf of 4.8% separates 
 the same parsers trained on Chinese CCGbank. We also confirm that the gap 
 between the states-of-the-art in English and Chinese PSG parsing can be ob
 served in CCG parsing.\n\n\nOur parsing experiments establish Chinese CCG 
 parsing as a new and substantial challenge.
LOCATION:FW26\, Computer Laboratory
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