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:
Apr. 01, 2025
Filed:
Aug. 31, 2023
Adobe Inc., San Jose, CA (US);
William Brandon George, Pleasant Grove, UT (US);
Wei Zhang, Great Falls, VA (US);
Tyler Rasmussen, San Jose, CA (US);
Tung Mai, San Jose, CA (US);
Tong Yu, Fremont, CA (US);
Sungchul Kim, San Jose, CA (US);
Shunan Guo, San Jose, CA (US);
Samuel Nephi Grigg, Sandy, UT (US);
Said Kobeissi, Lovettsville, VA (US);
Ryan Rossi, San Jose, CA (US);
Ritwik Sinha, Cupertino, CA (US);
Eunyee Koh, San Jose, CA (US);
Prithvi Bhutani, Lynnwood, WA (US);
Jordan Henson Walker, Lehi, UT (US);
Abhisek Trivedi, South Jordan, UT (US);
Adobe Inc., San Jose, CA (US);
Abstract
Graphic visualizations, such as charts or graphs conveying data attribute values, can be generated based on natural language queries, i.e., natural language requests. To do so, a natural language request is parsed into n-grams, and from the n-grams, word embeddings are determined using a natural language model. Data attributes for the graphic visualization are discovered in the vector space from the word embeddings. The type of graphic visualization can be determined based on a request intent, which is determined using a trained intent classifier. The graphic visualization is generated to include the data attribute values of the discovered data attributes, and in accordance with the graphic visualization type.