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Titlebook: Entropy Guided Transformation Learning: Algorithms and Applications; Cícero Nogueira Santos,Ruy Luiz Milidiú Book 2012 The Author(s) 2012

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發(fā)表于 2025-3-21 18:12:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Entropy Guided Transformation Learning: Algorithms and Applications
編輯Cícero Nogueira Santos,Ruy Luiz Milidiú
視頻videohttp://file.papertrans.cn/312/311860/311860.mp4
概述Detailed explanation of the Entropy Guided Transformation Learning algorithm.Detailed explanation of how to create ensembles of ETL classifiers.Explains how to apply ETL to four NLP problems.Includes
叢書名稱SpringerBriefs in Computer Science
圖書封面Titlebook: Entropy Guided Transformation Learning: Algorithms and Applications;  Cícero Nogueira Santos,Ruy Luiz Milidiú Book 2012 The Author(s) 2012
描述.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 a
出版日期Book 2012
關(guān)鍵詞Entropy Guided Transformation Learning; Named Entity Recognition; Part-of-speech Tagging; Semantic Role
版次1
doihttps://doi.org/10.1007/978-1-4471-2978-3
isbn_softcover978-1-4471-2977-6
isbn_ebook978-1-4471-2978-3Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2012
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發(fā)表于 2025-3-21 21:45:35 | 只看該作者
Adding Sophistication to Basic I/O,ll experiments, ETL shows better results than TBL with hand-crafted templates. Our experimental results also demonstrate that ETL Committee is an effective way to improve the ETL effectiveness. We believe that by avoiding the use of handcrafted templates, ETL enables the use of transformation rules
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2191-5768 er 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 a978-1-4471-2977-6978-1-4471-2978-3Series ISSN 2191-5768 Series E-ISSN 2191-5776
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Entropy Guided Transformation Learning: Algorithms and Applications
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Entropy Guided Transformation Learning guided template generation strategy employed by ETL. In Sect.?., we also present strategies to handle high dimensional features and to include the current classification feature in the generated templates. In Sects.?.–. we present some variations on the basic ETL strategy. Finally, in Sect.?., we discuss some related works.
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