Patents by Inventor Samatha Kottha

Samatha Kottha 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).

  • Patent number: 11501549
    Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: November 15, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sawani Bade, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran
  • Publication number: 20210357633
    Abstract: A hybrid rule-based Artificial Intelligence (AI) document processing system processes a non-editable document with at least one invoice to accurately extract data from tables in the invoices. The non-editable document is preprocessed for conversion into a markup format and pages including the invoice are identified. The invoice is processed via a document process by parsing the pages in different directions to generate a first set of predictions and via a block process wherein logical information blocks from the invoice are processed to generate a second set of predictions. The missing entries from a selected table are identified by applying rules to the first set of predictions and the second set of predictions. Any discrepancy between the missing entry values between the first and second set of predictions are resolved and the resulting data is exported to downstream systems for further uses.
    Type: Application
    Filed: June 30, 2020
    Publication date: November 18, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sawani BADE, Srinivasan Ponpathirkoottam Raghavan, Samatha Kottha, Shruti Chhabra, Praneeth Medhatithi Shishtla, Debayan Chakraborty, Sreerekha T. V., Himani Bhatt, Amit Nandi, Akanksha Juneja, Soubhagya Ranjan Mohapatra, Ashok Kumar Shivarajan, Kedar Bhat, Karthick Selvamuthukumaran
  • Patent number: 10776717
    Abstract: Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: September 15, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Prakash Ghatage, Madhura Shivaram, Kaushal Mody, Nirav Sampat, Samatha Kottha, Sumeet Sawarkar, Suraj Jadhav, Madhu Sudhan H V, Nagendra B. Kumar
  • Publication number: 20170372231
    Abstract: Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.
    Type: Application
    Filed: June 14, 2017
    Publication date: December 28, 2017
    Inventors: Prakash Ghatage, Madhura Shivaram, Kaushal Mody, Nirav Sampat, Samatha Kottha, Sumeet Sawarkar, Suraj Jadhav, Madhu Sudhan H V, Nagendra B. Kumar
  • Publication number: 20170193397
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for natural language processing of unstructured text are disclosed. In one aspect, a method includes the actions of receiving one or more unstructured data entries that each include one or more sentences, are each associated with an entity, and are each from a user. The actions further include parsing the one or more sentences. The actions further include determining one or more classifications of each unstructured data entry. The actions further include determining a sentiment. The actions further include accessing structured data. The actions further include defining one or more groups of users based on the structured data, wherein each of the one or more groups shares a common characteristic in the structured data. The actions further include determining sentiments to associate with the group.
    Type: Application
    Filed: June 17, 2016
    Publication date: July 6, 2017
    Inventors: Samatha Kottha, Bhavana Rao, Suraj Gjadhav, Jayati Deshmukh, Annervaz Karukapadath Mohamedrasheed, Sanjay Podder, Shubhashis Sengupta