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CiteWeb id: 19960000143

CiteWeb score: 3939

The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only recently, however, have computers become powerful enough to permit the widescale application of this concept to real world problems in statistical estimation and pattern recognition. In this paper, we describe a method for statistical modeling based on maximum entropy. We 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.

The publication "A maximum entropy approach to natural language processing" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Other it is included to the Top 1000. Additionally, the publicaiton "A maximum entropy approach to natural language processing" is placed in the Top 1000 among other scientific works published in 1996.
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