Data-driven parsing using probabilistic linear context-free rewriting systems

  • Authors:
  • Laura Kallmeyer;Wolfgang Maier

  • Affiliations:
  • Heinrich-Heine-Universität Düsseldorf;Heinrich-Heine-Universität Düsseldorf

  • Venue:
  • Computational Linguistics
  • Year:
  • 2013

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Abstract

This paper presents the first efficient implementation of a weighted deductive CYK parser for Probabilistic Linear Context-Free Rewriting Systems PLCFRSs. LCFRS, an extension of CFG, can describe discontinuities in a straightforward way and is therefore a natural candidate to be used for data-driven parsing. To speed up parsing, we use different context-summary estimates of parse items, some of them allowing for A* parsing. We evaluate our parser with grammars extracted from the German NeGra treebank. Our experiments show that data-driven LCFRS parsing is feasible and yields output of competitive quality.