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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Entropy Guided Transformation Learning: Algorithms and Applications (Paperback, 2012 ed.) Loot Price: R1,521
Discovery Miles 15 210
Entropy Guided Transformation Learning: Algorithms and Applications (Paperback, 2012 ed.): Cicero Nogueira dos Santos, Ruy Luiz...

Entropy Guided Transformation Learning: Algorithms and Applications (Paperback, 2012 ed.)

Cicero Nogueira dos Santos, Ruy Luiz Milidiu

Series: SpringerBriefs in Computer Science

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Loot Price R1,521 Discovery Miles 15 210 | Repayment Terms: R143 pm x 12*

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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.

General

Imprint: Springer London
Country of origin: United Kingdom
Series: SpringerBriefs in Computer Science
Release date: April 2012
First published: 2012
Authors: Cicero Nogueira dos Santos • Ruy Luiz Milidiu
Dimensions: 235 x 155 x 4mm (L x W x T)
Format: Paperback
Pages: 78
Edition: 2012 ed.
ISBN-13: 978-1-4471-2977-6
Categories: Books > Language & Literature > Language & linguistics > Computational linguistics
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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LSN: 1-4471-2977-6
Barcode: 9781447129776

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