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Entropy Guided Transformation Learning: Algorithms and Applications (Springerbriefs in Computer Science)

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Entropy Guided Transformation Learning: Algorithms and Applications (Springerbriefs in Computer Science) Cover

 

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Publisher Comments:

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.

Table of Contents

Preface.- Acknowledgements.- Acronyms.- Part I Entropy Guided Transformation Learning: Algorithms.- Introduction.- Entropy Guided Transformation Learning.- ETL Committee.- Part II Entropy Guided Transformation Learning: Applications.- General ETL Modeling for NLP Tasks.- Part-of-Speech Tagging.- Phrase Chunking.- Named Entity Recognition.- Semantic Role Labeling.- Conclusions.- Appendices.

Product Details

ISBN:
9781447129776
Author:
Santos, C. Cero Nogueira Dos
Publisher:
Springer
Author:
Milidiú, Ruy Luiz
Author:
Santos, Cícero Nogueira dos
Subject:
Computer Vision
Subject:
Entropy Guided Transformation Learning
Subject:
Named Entity Recognition
Subject:
Part-of-speech Tagging
Subject:
Semantic Role Labeling
Subject:
Transformation Based Learning
Subject:
Pattern recognition.
Subject:
Language Translation and Linguistics
Subject:
Computational linguistics
Subject:
Linguistics - General
Copyright:
Edition Description:
2012
Series:
SpringerBriefs in Computer Science
Publication Date:
20120528
Binding:
TRADE PAPER
Language:
English
Pages:
91
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » Programming and Languages
History and Social Science » Linguistics » General
Science and Mathematics » Electricity » General Electronics

Entropy Guided Transformation Learning: Algorithms and Applications (Springerbriefs in Computer Science) New Trade Paper
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