Entropy Guided Transformation Learning: Algorithms and Applications - Paperback - 2012

Suitable for both advanced undergraduate and graduate courses, this title presents a machine learning algorithm for classification tasks. It offers an application of Entropy Guided Transformation Learning to four Natural Language Processing tasks: part-of-speech tagging, phrase chunking, named entity recognition and semantic role labeling.
Year of publication: 2012
Pagination: 91 pages, 10 black & white illustrations, 32 black & white tables, biography
Format: Paperback
Serie: Springerbriefs in Computer Science