Patents by Inventor Shaun Cyprian D'Souza

Shaun Cyprian D'Souza 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).

  • Publication number: 20210110277
    Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 15, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Shaun Cyprian D'SOUZA, Ashutosh PANDEY, Binit KUMAR BHAGAT, Vijay APPARAO PATIL, Chaitanya TEEGALA, Sangeetha BASAVARAJ, Eldhose JOY, Nikita RAMESH RAO, Harsha JAWAGAL
  • Publication number: 20200184540
    Abstract: In some examples, artificial intelligence and machine learning based conversational agent may include ascertaining, based on a chat conducted with a conversational chatbot, a request by a user to purchase a product, and an attribute associated with the user. An intent associated with the user to purchase the product may be generated. Further, a catalog that includes a plurality of products that match the request by the user to purchase the product may be generated. Selection of a product from the plurality of products may be received. Identification of a quantity associated with the selected product may be received. A purchase request may be generated. A purchase order associated with the selected product may be generated. Further, based on the purchase order associated with the selected product, the selected product may be procured for the user.
    Type: Application
    Filed: December 10, 2018
    Publication date: June 11, 2020
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Shaun Cyprian D'SOUZA, Hussain M. BOXWALA, Vaibhav VIJAY KOTWAL, Sudharshan REDDY, Annapurna PATCHARLA, Suman MISHRA, Swaminathan GOPALAKRISHNAN, Harsha JAWAGAL
  • Patent number: 10002129
    Abstract: This disclosure relates generally to natural language processing, and more particularly to a system and method for extracting subject-verb-object (SVO) chunked text from an unstructured text. In one embodiment, a method is provided for extracting SVO chunked text from an unstructured text. The method comprises identifying a plurality of part of speech (PoS) tokens in the unstructured text, and determining a plurality of SVO chunked text directly from the plurality of PoS tokens using a machine learning chunker model. The machine learning chunker model is trained on a subject-verb-object (SVO) annotated training data.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: June 19, 2018
    Assignee: Wipro Limited
    Inventor: Shaun Cyprian D'Souza