Sub-model generation to improve classification accuracy

摘要

A method of classifying text input for use with a natural language understanding system can include determining classification information including a primary classification and one or more secondary classifications for a received text input using a statistical classification model (statistical model). A statistical classification sub-model (statistical sub-model) can be selectively built according to a model generation criterion applied to the classification information. The method further can include selecting the primary classification or the secondary classification for the text input as a final classification according to the statistical sub-model and outputting the final classification for the text input.

主权项

1. A method of classifying text input for use with a natural language understanding system, the method comprising:
via a processor, determining classification information comprising a primary classification and at least one secondary classification for a received text input using a statistical classification model (statistical model); via the processor, selectively building a statistical classification sub-model (statistical sub-model) according to whether the classification information conforms to an accuracy requirement; via the processor, selecting the primary classification or the at least one secondary classification for the text input as a final classification according to the statistical sub-model; and via the processor, outputting the final classification for the text input.