Paper: Active Learning For HPSG Parse Selection

ACL ID W03-0403
Title Active Learning For HPSG Parse Selection
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2003

We describe new features and algorithms for HPSG parse selection models and address the task of creating annotated material to train them. We evaluate the ability of several sam- ple selection methods to reduce the number of annotated sentences necessary to achieve a given level of performance. Our best method achieves a 60% reduction in the amount of training material without any loss in accuracy.