Proceedings of the 10 th International Conference on Tree Adjoining Grammars and Related Formalisms ( TAG + 10 )

نویسندگان

  • Maribel Romero
  • Tilman Becker
  • Emily Bender
  • Pierre Boullier
  • John Chen
  • David Chiang
  • Eric de la Clergerie
  • Claire Gardent
  • Chung-hye Han Karin Harbusch
  • Aravind Joshi
  • Laura Kallmeyer
  • Marco Kuhlmann
  • Alessandro Mazzei
  • David McDonald
  • Martha Palmer
  • Owen Rambow
  • James Rogers
  • Anoop Sarkar
  • Sylvain Schmitz
  • Hiroyuki Seki
  • Vijay Shanker
  • Mark Steedman
  • Amanda Stent
  • Matthew Stone
  • Bonnie Webber
  • Fei Xia
  • Naoki Yoshinaga
چکیده

This tutorial will describe the use of a factored probabilistic sequence model for parsing speech and text using a bounded store of three to four incomplete constituents over time, in line with recent estimates of human shortterm working memory capacity. This formulation uses a grammar transform to minimize memory usage during parsing. Incremental operations on incomplete constituents in this transformed representation then define an extended domain of locality similar to those defined in mildly context-sensitive grammar formalisms, which can similarly be used to process long-distance and crossed-and-nested dependencies.

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تاریخ انتشار 2010