Measures and models for phrase recognition

  • Authors:
  • Steven Abney

  • Affiliations:
  • Bell Communications Research, Morristown, NJ

  • Venue:
  • HLT '93 Proceedings of the workshop on Human Language Technology
  • Year:
  • 1993

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Abstract

I present an entropy measure for evaluating parser performance. The measure is fine-grained, and permits us to evaluate performance at the level of individual phrases. The parsing problem is characterized as statistically approximating the Penn Treebank annotations. I consider a series of models to "calibrate" the measure by determining what scores can be achieved using the most obvious kinds of information. I also relate the entropy measure to measures of recall/precision and grammar coverage.