Invention Grant
- Patent Title: Learning-based method for generating visualizations via natural language
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Application No.: US18459081Application Date: 2023-08-31
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Publication No.: US12265557B2Publication Date: 2025-04-01
- Inventor: William Brandon George , Wei Zhang , Tyler Rasmussen , Tung Mai , Tong Yu , Sungchul Kim , Shunan Guo , Samuel Nephi Grigg , Said Kobeissi , Ryan Rossi , Ritwik Sinha , Eunyee Koh , Prithvi Bhutani , Jordan Henson Walker , Abhisek Trivedi
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06F40/00
- IPC: G06F40/00 ; G06F16/242 ; G06F16/28 ; G06F40/205 ; G06F40/40

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.
Public/Granted literature
- US20250077549A1 LEARNING-BASED METHOD FOR GENERATING VISUALIZATIONS VIA NATURAL LANGUAGE Public/Granted day:2025-03-06
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