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US Patent 10970486 Using unstructured input to update heterogeneous data stores

Patent 10970486 was granted and assigned to Salesforce.com, Inc. on April, 2021 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10970486
Date of Patent
April 6, 2021
Patent Application Number
16134956
Date Filed
September 18, 2018
Patent Citations
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US Patent 10198432 Aspect-based sentiment analysis and report generation using machine learning methods
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US Patent 10282663 Three-dimensional (3D) convolution with 3D batch normalization
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US Patent 10341279 Action links
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US Patent 10346721 Training a neural network using augmented training datasets
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US Patent 10353905 Identifying entities in semi-structured content
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US Patent 10474709 Deep reinforced model for abstractive summarization
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US Patent 10354264 Contact recommendations based on purchase history
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US Patent 10521465 Deep reinforced model for abstractive summarization
...
Patent Citations Received
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US Patent 12086539 System and method for natural language processing using neural network with cross-task training
0
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US Patent 11544465 Using unstructured input to update heterogeneous data stores
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US Patent 11669745 Proposal learning for semi-supervised object detection
0
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US Patent 11409945 Natural language processing using context-specific word vectors
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US Patent 11537801 Structured text translation
Patent Primary Examiner
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Marcus T Riley
Patent abstract

Approaches to using unstructured input to update heterogeneous data stores include receiving unstructured text input, receiving a template for interpreting the unstructured text input, identifying, using an entity classifier, entities in the unstructured text input, identifying one or more potential parent entities from the identified entities based on the template, receiving a selection of a parent entity from the one or more potential parent entities, identifying one or more potential child entities from the identified entities based on the template and the selected parent entity, receiving a selection of a child entity from the one or more potential child entities, identifying an action item in the unstructured text input based on the identified entities and the template, determining, using an intent classifier, an intent of the action item, and updating a data store based on the determined intent, the identified entities, and the selected child entity.

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