SYSTEM AND METHOD FOR UNSUPERVISED IDENTIFICATION OF OMITTED INFORMATION FROM A MACHINE LEARNING MODEL-GENERATED SUMMARY

A method, computer program product, and computing system for identifying a portion of a transcript associated with a particular category. A segment from the transcript is aligned with a segment from a model-generated summary of the transcript. A portion of the transcript omitted from the model-gener...

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Bibliographic Details
Main Author Fu, Zhongkai
Format Patent
LanguageEnglish
Published 26.09.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A method, computer program product, and computing system for identifying a portion of a transcript associated with a particular category. A segment from the transcript is aligned with a segment from a model-generated summary of the transcript. A portion of the transcript omitted from the model-generated summary is identified based upon, at least in part, the identified portion of the transcript associated with the particular category and the aligned segments from the transcript and the model-generated summary.
Bibliography:Application Number: US202318189318