An Introduction to Stochastic Attribute-Value Grammars
by Rob Malouf, Miles Osborne
Publisher: ESSLLI 2001
Number of pages: 159
This one-week course will provide an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. Through a combination of lectures and, as local computing facilities permit, hands-on lab exercises, students will investigate the implementation of maximum entropy models for attribute-value grammars, including such topics as ambiguity identification, feature selection, and model training and evaluation.
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