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US Patent 12130850 Model-based semantic text searching

Patent 12130850 was granted and assigned to Adobe Inc. on October, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
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Current Assignee
Adobe Inc.
Adobe Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121308500
Patent Inventor Names
Trung Bui0
Yu Gong0
Sachin Soni0
Franck Dernoncourt0
Joon Kim0
Tushar Dublish0
Sasha Spala0
Carl Dockhorn0
...
Date of Patent
October 29, 2024
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Patent Application Number
181479600
Date Filed
December 29, 2022
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Patent Citations
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US Patent 11238211 Automatic hyperlinking of documents
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US Patent 11308320 Multi-segment text search using machine learning model for text similarity
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US Patent 8463810 Scoring concepts for contextual personalized information retrieval
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US Patent 9535960 Context-sensitive search using a deep learning model
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US Patent 10346727 Utilizing a digital canvas to conduct a spatial-semantic search for digital visual media
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US Patent 10891673 Semantic modeling for search
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US Patent 11222183 Creation of component templates based on semantically similar content
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Patent Primary Examiner
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Abdelali Serrou
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CPC Code
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G06F 16/583
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G06F 16/00
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G06F 16/24578
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G06F 40/106
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G06F 16/55
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G06F 40/295
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G06F 40/274
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G06F 16/58
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Patent abstract

Techniques and systems are described for performing semantic text searches. A semantic text-searching solution uses a machine learning system (such as a deep learning system) to determine associations between the semantic meanings of words. These associations are not limited by the spelling, syntax, grammar, or even definition of words. Instead, the associations can be based on the context in which characters, words, and/or phrases are used in relation to one another. In response to detecting a request to locate text within an electronic document associated with a keyword, the semantic text-searching solution can return strings within the document that have matching and/or related semantic meanings or contexts, in addition to exact matches (e.g., string matches) within the document. The semantic text-searching solution can then output an indication of the matching strings.

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