A Maximum-Entropy Based Confidence Metric for a Statistical Parser
Original Publication Date: 2004-Jun-05
Included in the Prior Art Database: 2004-Jun-05
This is a method used to apply maximum entropy methods and feature selection similar to that proposed in  to parse trees built using the algorithm of . This yields a good confidence metric that can also be used to select between the top-N candidates that the method of  produces.