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US Patent 11989964 Techniques for graph data structure augmentation

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Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
119899640
Patent Inventor Names
Iman Zadeh0
Amit Agarwal0
Kulbhushan Pachauri0
Jun Qian0
Date of Patent
May 21, 2024
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Patent Application Number
175241570
Date Filed
November 11, 2021
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Patent Citations
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US Patent 11087081 Synthetic document generator
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US Patent 11341367 Synthetic training data generation for machine learning
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US Patent 9424668 Session-based character recognition for document reconstruction
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Patent Primary Examiner
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Dov Popovici
0
Patent abstract

A computing device may receive a set of user documents. Data may be extracted from the documents to generate a first graph data structure with one or more initial graphs containing key-value pairs. A model may be trained on the first graph data structure to classify the pairs. Until a set of evaluation metrics for the model exceeds a set of deployment thresholds: generating, a set of evaluation metrics may be generated for the model. The set of evaluation metrics may be compared to the set of deployment thresholds. In response to a determination that the set of evaluation metrics are below the set of deployment thresholds: one or more new graphs may be generated from the one or more initial graphs in the first graph data structure to produce a second graph data structure. The first and second graph can be used to train the model.

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