A Maximum Entropy Approach to Natural Language Processing
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra
Publisher: Association for Computational Linguistics 1996
Number of pages: 36
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently, using as examples several problems in natural language processing.
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by Igor Boshakov, Alexander Gelbukh
The book focuses on the basic set of ideas and facts from the fundamental science necessary for the creation of intelligent language processing tools, without going deeply into the details of specific algorithms or toy systems.
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This text provides an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. We investigate the implementation of maximum entropy models for attribute-value grammars.
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