公开(公告)号：US20250077549A1

公开(公告)日：2025-03-06

申请号：US18459081

申请日：2023-08-31

Applicant: Adobe Inc.

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

IPC: G06F16/28 ,  G06F16/242 ,  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.