Measures and models for phrase recognition
- 1 January 1993
- conference paper
- Published by Association for Computational Linguistics (ACL)
- p. 233-236
- https://doi.org/10.3115/1075671.1075725
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.Keywords
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