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A Maximum-Entropy Based Confidence Metric for a Statistical Parser

IP.com Disclosure Number: IPCOM000028875D
Original Publication Date: 2004-Jun-05
Included in the Prior Art Database: 2004-Jun-05

Publishing Venue

IBM

Abstract

This is a method used to apply maximum entropy methods and feature selection similar to that proposed in [2] to parse trees built using the algorithm of [1]. This yields a good confidence metric that can also be used to select between the top-N candidates that the method of [1] produces.