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US Patent 11328025 Validating mappings between documents using machine learning

Patent 11328025 was granted and assigned to BANK OF AMERICA CORPORATION on May, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11328025
Patent Inventor Names
Arjun Thimmareddy0
Matthew I. Cobb0
Melissa A. Fraser0
Date of Patent
May 10, 2022
Patent Application Number
16557871
Date Filed
August 30, 2019
Patent Citations
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US Patent 10089297 Word order suggestion processing
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US Patent 10216833 Associating content items with document sections
0
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US Patent 10019535 Template-free extraction of data from documents
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US Patent 10031907 Context-based text auto completion
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US Patent 10055402 Generating a semantic network based on semantic connections between subject-verb-object units
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US Patent 10169305 Marking comparison for similar documents
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Patent Citations Received
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US Patent 12001966 Generation of digital standards using machine-learning model
0
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US Patent 11429897 Identifying relationships between sentences using machine learning
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US Patent 11429896 Mapping documents using machine learning
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US Patent 11645550 Generation of digital standards using machine-learning model
0
Patent Primary Examiner
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Hau H Hoang

A device that includes an enterprise data indexing engine (EDIE) configured to determine a first set of similarity scores between a first set of sentences from a first document and a plurality of classification descriptions. The EDIE is further configured to identify one or more classification descriptions that have a similarity score that exceeds a predetermined threshold value. The EDIE is further configured to determine a second set of similarity scores between a second set of sentences from a second document and the plurality of classification descriptions. The EDIE is further configured to identify one or more classification descriptions that have a similarity score that exceeds the predetermined threshold value. The EDIE is further configured to populate a data structure that identifies the tokens within the first set of tokens and the second set of tokens and the number of times each token appears.

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