Paper: Co-Training And Self-Training For Word Sense Disambiguation

ACL ID W04-2405
Title Co-Training And Self-Training For Word Sense Disambiguation
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2004
Authors

This paper investigates the application of co- training and self-training to word sense disam- biguation. Optimal and empirical parameter se- lection methods for co-training and self-training are investigated, with various degrees of error reduction. A new method that combines co- training with majority voting is introduced, with the effect of smoothing the bootstrapping learn- ing curves, and improving the average perfor- mance.