By Ruy Luiz Milidiú
Entropy Guided Transformation studying: Algorithms and Applications (ETL) provides a laptop studying set of rules for category projects. ETL generalizes Transformation established studying (TBL) by means of fixing the TBL bottleneck: the development of fine template units. ETL immediately generates templates utilizing selection Tree decomposition.
The authors describe ETL Committee, an ensemble process that makes use of ETL because the base learner. Experimental effects exhibit that ETL Committee improves the effectiveness of ETL classifiers. the applying of ETL is gifted to 4 typical Language Processing (NLP) projects: part-of-speech tagging, word chunking, named entity popularity and semantic position labeling. huge experimental effects exhibit that ETL is a good option to research exact transformation principles, and indicates greater effects than TBL with hand made templates for the 4 projects. by way of averting using hand made templates, ETL permits using transformation principles to a better diversity of tasks.
Suitable for either complicated undergraduate and graduate classes, Entropy Guided Transformation studying: Algorithms and Applications offers a complete advent to ETL and its NLP applications.
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