Paper: Boosting Applied To Tagging And PP Attachment

ACL ID W99-0606
Title Boosting Applied To Tagging And PP Attachment
Venue 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Session Main Conference
Year 1999
Authors

Boosting is a machine learning algorithm that is not well known in computational linguistics. We ap- ply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encourag- ing. We also show how to improve data quality by using boosting to identify annotation errors.