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US Patent 10303771 Utilizing machine learning models to identify insights in a document

Patent 10303771 was granted and assigned to Capital One on May, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Capital One
Capital One
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Current Assignee
Capital One
Capital One
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103037710
Patent Inventor Names
Joni Bridget Jezewski0
Date of Patent
May 28, 2019
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Patent Application Number
158969220
Date Filed
February 14, 2018
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Patent Citations Received
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US Patent 12093642 Method and system for conditioned generation of descriptive commentary for quantitative data
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US Patent 11500885 Generation of insights based on automated document analysis
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US Patent 11501111 Learning models for entity resolution using active learning
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US Patent 11948563 Conversation summarization during user-control task execution for assistant systems
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US Patent 11983498 System and methods for language processing of document sequences using a neural network
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US Patent 12019685 Context carryover across tasks for assistant systems
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US Patent 11481580 Accessible machine learning
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US Patent 10489512 Utilizing machine learning models to identify insights in a document
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Patent Primary Examiner
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Olujimi A Adesanya
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Patent abstract

A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.

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