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US Patent 11550786 System, method, and computer program for converting a natural language query to a structured database update statement

Patent 11550786 was granted and assigned to Apttus on January, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Apttus
Apttus
0
Current Assignee
Apttus
Apttus
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115507860
Patent Inventor Names
Koti R. Nandyala0
Venkatraman Naganathan0
Manjula Devi Malairasan0
Date of Patent
January 10, 2023
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Patent Application Number
169995820
Date Filed
August 21, 2020
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Patent Citations
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US Patent 10521491 Real-time and computationally efficient prediction of values for a quote variable in a pricing application
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US Patent 10289261 Visualization of spending data in an altered reality
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US Patent 10621640 Augmented and virtual reality quote-to-cash system
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US Patent 10783575 System, method, and computer program for deploying a prepackaged analytic intelligence module for a quote-to-cash application while protecting the privacy of customer data
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US Patent 11232508 Quote-to-cash intelligent software agent
Patent Citations Received
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US Patent 12067037 System, method, and computer program for performing natural language searches for documents in a database using alternate search suggestions
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US Patent 12014387 System, method, and computer program for providing a pricing platform for performing different types of pricing calculations for different customers
0
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US Patent 11928109 Integrative configuration for bot behavior and database behavior
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Patent Primary Examiner
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William B Partridge
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CPC Code
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G06F 16/243
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G06F 16/2379
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G06F 16/212
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G06F 16/24522
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The present disclosure describes a system, method, and computer program for converting a natural language update instruction to a structured update database statement. In response to receiving a natural language query for a database, an NLU model is applied to the query to identify an intent and entities associated with the query. If the intent is to update a data object, the system evaluates the entities to identify update fields and update values. Update fields are matched to update values based on update parameters, operand type of the update value, and location of the update fields and values. For each update field and value pair, an update context is calculated to determine whether the update value is absolute or relative to an existing field value. An update plan is created with the update field and value pairs and corresponding update contexts, and a database update statement is generated from the update plan.

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