Patents by Inventor Tyler Rasmussen

Tyler Rasmussen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Learning-based method for generating visualizations via natural language
    Patent number: 12265557
    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.
    Type: Grant
    Filed: August 31, 2023
    Date of Patent: April 1, 2025
    Assignee: Adobe Inc.
    Inventors: 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
  • LEARNING-BASED METHOD FOR GENERATING VISUALIZATIONS VIA NATURAL LANGUAGE
    Publication number: 20250077549
    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.
    Type: Application
    Filed: August 31, 2023
    Publication date: March 6, 2025
    Inventors: 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