Patents by Inventor Pratik Sridatt Jayarao

Pratik Sridatt Jayarao 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).

  • METHODS AND APPARATUS FOR NATURAL LANGUAGE UNDERSTANDING IN CONVERSATIONAL SYSTEMS USING MACHINE LEARNING PROCESSES
    Publication number: 20240160846
    Abstract: This application relates to apparatus and methods for natural language understanding in conversational systems using machine learning processes. In some examples, a computing device receives a request that identifies textual data. The computing device applies a natural language model to the textual data to generate first embeddings. In some examples, the natural language model is trained on retail data, such as item descriptions and chat session data. The computing device also applies a dependency based model to the textual data to generate second embeddings. Further, the computing device concatenates the first and second embeddings, and applies an intent and entity classifier to the concatenated embeddings to determine entities, and an intent, for the request. The computing device may generate a response to the request based on the determined intent and entities.
    Type: Application
    Filed: January 23, 2024
    Publication date: May 16, 2024
    Inventors: Pratik Sridatt Jayarao, Arpit Sharma, Deepa Mohan
  • Methods and apparatus for natural language understanding in conversational systems using machine learning processes
    Patent number: 11960842
    Abstract: This application relates to apparatus and methods for natural language understanding in conversational systems using machine learning processes. In some examples, a computing device receives a request that identifies textual data. The computing device applies a natural language model to the textual data to generate first embeddings. In some examples, the natural language model is trained on retail data, such as item descriptions and chat session data. The computing device also applies a dependency based model to the textual data to generate second embeddings. Further, the computing device concatenates the first and second embeddings, and applies an intent and entity classifier to the concatenated embeddings to determine entities, and an intent, for the request. The computing device may generate a response to the request based on the determined intent and entities.
    Type: Grant
    Filed: February 27, 2021
    Date of Patent: April 16, 2024
    Assignee: Walmart Apollo, LLC
    Inventors: Pratik Sridatt Jayarao, Arpit Sharma, Deepa Mohan
  • METHODS AND APPARATUS FOR NATURAL LANGUAGE UNDERSTANDING IN CONVERSATIONAL SYSTEMS USING MACHINE LEARNING PROCESSES
    Publication number: 20220277143
    Abstract: This application relates to apparatus and methods for natural language understanding in conversational systems using machine learning processes. In some examples, a computing device receives a request that identifies textual data. The computing device applies a natural language model to the textual data to generate first embeddings. In some examples, the natural language model is trained on retail data, such as item descriptions and chat session data. The computing device also applies a dependency based model to the textual data to generate second embeddings. Further, the computing device concatenates the first and second embeddings, and applies an intent and entity classifier to the concatenated embeddings to determine entities, and an intent, for the request. The computing device may generate a response to the request based on the determined intent and entities.
    Type: Application
    Filed: February 27, 2021
    Publication date: September 1, 2022
    Inventors: Pratik Sridatt Jayarao, Arpit Sharma, Deepa Mohan