Paper: Phrase Chunking Using Entropy Guided Transformation Learning

ACL ID P08-1074
Title Phrase Chunking Using Entropy Guided Transformation Learning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learn- ing (TBL). In this work, we apply the ETL framework to four phrase chunking tasks: Por- tuguese noun phrase chunking, English base noun phrase chunking, English text chunking and Hindi text chunking. In all four tasks, ETL shows better results than Decision Trees and also than TBL with hand-crafted tem- plates. ETL provides a new training strat- egy that accelerates transformation learning. For the English text chunking task this corre- sponds to a factor of five speedup. For Por- tuguese noun phrase chunking, ETL shows the best reported results for the task. For the other three linguistic tasks, ETL shows state-of-the- art comp...