The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 29, 2024
Filed:
Dec. 29, 2022
Adobe Inc., San Jose, CA (US);
Trung Bui, San Jose, CA (US);
Yu Gong, San Jose, CA (US);
Tushar Dublish, Uttar Pradesh, IN;
Sasha Spala, Arlington, MA (US);
Sachin Soni, New Delhi, IN;
Nicholas Miller, Boston, MA (US);
Joon Kim, Dublin, CA (US);
Franck Dernoncourt, Sunnyvale, CA (US);
Carl Dockhorn, San Jose, CA (US);
Ajinkya Kale, San Jose, CA (US);
Adobe Inc., San Jose, CA (US);
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.