Adobe, Inc.

Samuel Nephi Grigg

Ryan A Rossi

Eunyee Koh

Wei Zhang

William Brandon George

Sungchul Kim

Tung Mai

Ritwik Sinha

Tong Yu

Shunan Guo

Said Kobeissi

Jordan Walker

Prithvi Bhutani

Tyler Rasmussen

Abhisek Trivedi

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.

Learning-based method for generating visualizations via natural language

Growing community of inventors

Sandy, UT, United States of America

Samuel Nephi Grigg