Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.
REF applied boosting to part of speech tagging.
Boosting Applied To Tagging And PP Attachment
Joint SIGDAT Conference On Empirical Methods In Natural Language Processing And Very Large Corpora
Computer Science