Patents by Inventor Chaitanya Muppala

Chaitanya Muppala 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: 11048762
    Abstract: Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new data models applicable to a set of focus documents. In addition, an end user of the automated document review system can customize and create new extraction rules applicable to text extraction from the set of focus documents. The user-defined edits to the data model and extraction rules can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.
    Type: Grant
    Filed: March 11, 2019
    Date of Patent: June 29, 2021
    Assignee: Open Text Holdings, Inc.
    Inventors: Jan Puzicha, Jan Stadermann, Chaitanya Muppala, Sangeetha Yanamandra, Ketan Deshpande
  • Patent number: 10762142
    Abstract: Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new extractor taggers within data models applicable to a set of focus documents. The user-defined edits to the extractor taggers can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: September 1, 2020
    Assignee: Open Text Holdings, Inc.
    Inventors: Jan Puzicha, Jan Stadermann, Chaitanya Muppala, Sangeetha Yanamandra, Ketan Deshpande
  • Publication number: 20190286667
    Abstract: Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new data models applicable to a set of focus documents. In addition, an end user of the automated document review system can customize and create new extraction rules applicable to text extraction from the set of focus documents. The user-defined edits to the data model and extraction rules can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.
    Type: Application
    Filed: March 11, 2019
    Publication date: September 19, 2019
    Inventors: Jan Puzicha, Jan Stadermann, Chaitanya Muppala, Sangeetha Yanamandra, Ketan Deshpande
  • Publication number: 20190286668
    Abstract: Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new extractor taggers within data models applicable to a set of focus documents. The user-defined edits to the extractor taggers can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.
    Type: Application
    Filed: April 29, 2019
    Publication date: September 19, 2019
    Inventors: Jan Puzicha, Jan Stadermann, Chaitanya Muppala, Sangeetha Yanamandra, Ketan Deshpande