Paper: Revision Learning And Its Application To Part-Of-Speech Tagging

ACL ID P02-1063
Title Revision Learning And Its Application To Part-Of-Speech Tagging
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2002
Authors

This paper presents a revision learn- ing method that achieves high per- formance with small computational cost by combining a model with high generalization capacity and a model with small computational cost. This method uses a high capacity model to revise the output of a small cost model. We apply this method to English part- of-speech tagging and Japanese mor- phological analysis, and show that the method performs well.