Generative Models for Statistical Parsing with Combinatory Categorial Grammar

  title={Generative Models for Statistical Parsing with Combinatory Categorial Grammar},
  author={Julia Hockenmaier and Mark Steedman},
This paper compares a number of generative probability models for a widecoverage Combinatory Categorial Grammar (CCG) parser. These models are trained and tested on a corpus obtained by translating the Penn Treebank trees into CCG normal-form derivations. According to an evaluation of unlabeled word-word dependencies, our best model achieves a performance of 89.9%, comparable to the figures given by Collins (1999) for a linguistically less expressive grammar. In contrast to Gildea (2001), we… CONTINUE READING
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