Sciweavers

Share
ACL
2008

Phrase Chunking Using Entropy Guided Transformation Learning

9 years 11 months ago
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In this work, we apply the ETL framework to four phrase chunking tasks: Portuguese 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 templates. ETL provides a new training strategy that accelerates transformation learning. For the English text chunking task this corresponds to a factor of five speedup. For Portuguese noun phrase chunking, ETL shows the best reported results for the task. For the other three linguistic tasks, ETL shows state-of-theart competitive results and maintains the advantages of using a rule based system.
Ruy Luiz Milidiú, Cícero Nogueira do
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Ruy Luiz Milidiú, Cícero Nogueira dos Santos, Julio C. Duarte
Comments (0)
books