At+t Corp.

Giuseppe DiFabrizzio

Mazin G Rahim

Narendra Kumar Gupta

Robert Elias Schapire

Hiyan Alshawi

Yoram Singer

A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of &#x3b7;p(x), or 1&#x2212;&#x3b7;p(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1&#x2212;&#x3b7;p(x), or &#x3b7;p(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.

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Summit, NJ, United States of America

Giuseppe DiFabrizzio