2008 PhraseChunkingUsingEntropyGuide
- (Milidiu et al., 2008) ⇒ Ruy Luiz Milidiu, Cicero Nogueira dos Santos, and Julio C. Duarte. (2008). “Phrase Chunking Using Entropy Guided Transformation Learning.” In: Proceedings of ACL-08: HLT (2008).
Subject Headings: Phrase Chunking System.
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Abstract
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-the-art competitive results and maintains the advantages of using a rule based system.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2008 PhraseChunkingUsingEntropyGuide | Cicero Nogueira dos Santos Ruy Luiz Milidiu Julio C. Duarte | Phrase Chunking Using Entropy Guided Transformation Learning | 2008 |