Entropy Guided Transformation Learning: Algorithms and Applications: Algorithms and Applications

Entropy Guided Transformation Learning: Algorithms and Applications: Algorithms and Applications

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Paperback, Springer-Verlag New York Inc, 2012, ISBN13 9781447129776, ISBN10 1447129776
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Paperback, Springer-Verlag New York Inc, 2012, ISBN13 9781447129776, ISBN10 1447129776

About this item

Important Made in USA Origin Disclaimer: For certain items sold by Walmart on Walmart.com, the displayed country of origin information may not be accurate or consistent with manufacturer information. For updated, accurate country of origin data, it is recommended that you rely on product packaging or manufacturer information.

Paperback, Springer-Verlag New York Inc, 2012, ISBN13 9781447129776, ISBN10 1447129776

Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates using Decision Tree decomposition.

The authors describe ETL Committee, an ensemble method that uses ETL as the base learner. Experimental results show that ETL Committee improves the effectiveness of ETL classifiers. The application of ETL is presented to four Natural Language Processing (NLP) tasks: part-of-speech tagging, phrase chunking, named entity recognition and semantic role labeling. Extensive experimental results demonstrate that ETL is an effective way to learn accurate transformation rules, and shows better results than TBL with handcrafted templates for the four tasks. By avoiding the use of handcrafted templates, ETL enables the use of transformation rules to a greater range of tasks.

Suitable for both advanced undergraduate and graduate courses, Entropy Guided Transformation Learning: Algorithms and Applications provides a comprehensive introduction to ETL and its NLP applications.

Specifications

Series Title: Springerbriefs in Computer Science
Book Format: Paperback
Number of Pages: 91
Publisher: Springer-Verlag New York Inc
ISBN-13: 9781447129776
ISBN-10: 1447129776
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