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US Patent 11048887 Cross-language models based on transfer learning

Patent 11048887 was granted and assigned to Intuit on June, 2021 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Intuit
Intuit
Current Assignee
Intuit
Intuit
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11048887
Date of Patent
June 29, 2021
Patent Application Number
16521129
Date Filed
July 24, 2019
Patent Citations
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US Patent 10417350 Artificial intelligence system for automated adaptation of text-based classification models for multiple languages
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US Patent 10803257 Machine translation locking using sequence-based lock/unlock classification
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US Patent 10067913 Cross-lingual automatic query annotation
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US Patent 10282420 Evaluation element recognition method, evaluation element recognition apparatus, and evaluation element recognition system
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US Patent 10628527 Automatically cross-linking application programming interfaces
Patent Citations Received
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US Patent 11526807 Machine learning systems and methods with source-target adaptation
Patent Primary Examiner
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Edgar X Guerra-Erazo
Patent abstract

A method for text classification involves generating, using a bilingual embedding model, source language embeddings for source language documents; obtaining source language document labels of the source language documents; and training a source language classifier model and a label embedding network, executing on a computing system, using the source language embeddings and the source language document labels. The method further involves generating pseudo-labels for unlabeled target language documents, by: generating, using the bilingual embedding model, target language embeddings for the unlabeled target language documents, and applying the source language classifier model and the label embedding network to the target language embeddings to obtain the pseudo-labels for the unlabeled target language documents. In addition, the method involves training a target language classifier model executing on the computing system using the target language embeddings and the pseudo labels.

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