Patents by Inventor Joseph R. Zeimen

Joseph R. Zeimen 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).

  • Machine learning based models for automatic conversations in online systems
    Patent number: 11790894
    Abstract: A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.
    Type: Grant
    Filed: March 15, 2021
    Date of Patent: October 17, 2023
    Assignee: Salesforce, Inc.
    Inventors: Yixin Mao, Zachary Alexander, Victor Winslow Yee, Joseph R. Zeimen, Na Cheng, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong
  • MACHINE LEARNING BASED MODELS FOR AUTOMATIC CONVERSATIONS IN ONLINE SYSTEMS
    Publication number: 20220293094
    Abstract: A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.
    Type: Application
    Filed: March 15, 2021
    Publication date: September 15, 2022
    Inventors: Yixin Mao, Zachary Alexander, Victor Winslow Yee, Joseph R. Zeimen, Na Cheng, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong