Patents by Inventor Raksha Sharma

Raksha Sharma 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).

  • Method and system for training a target domain classifier to label text segments
    Patent number: 10460257
    Abstract: The disclosed embodiments illustrate methods of data processing for training a target domain classifier to label text segments. The method includes identifying a set of common keywords with same label from a set of source keywords and a set of target keywords. The method includes training a first classifier, based on the set of common keywords, to label a first set of target text segments. The method includes training a second classifier based on at least a subset of the labeled first set of target text segments. The method includes training a third classifier, based on the first classifier and the second classifier, to label a second set of target text segments, wherein a subset of the labeled second set of target text segments is utilized for re-training the second classifier. The method further includes determining labels of another plurality of target text segments based on the re-trained second classifier.
    Type: Grant
    Filed: September 8, 2016
    Date of Patent: October 29, 2019
    Assignee: CONDUENT BUSINESS SERVICES, LLC
    Inventors: Raksha Sharma, Sandipan Dandapat, Himanshu Sharad Bhatt
  • METHOD AND SYSTEM FOR TRAINING A TARGET DOMAIN CLASSIFIER TO LABEL TEXT SEGMENTS
    Publication number: 20180068231
    Abstract: The disclosed embodiments illustrate methods of data processing for training a target domain classifier to label text segments. The method includes identifying a set of common keywords with same label from a set of source keywords and a set of target keywords. The method includes training a first classifier, based on the set of common keywords, to label a first set of target text segments. The method includes training a second classifier based on at least a subset of the labeled first set of target text segments. The method includes training a third classifier, based on the first classifier and the second classifier, to label a second set of target text segments, wherein a subset of the labeled second set of target text segments is utilized for re-training the second classifier. The method further includes determining labels of another plurality of target text segments based on the re-trained second classifier.
    Type: Application
    Filed: September 8, 2016
    Publication date: March 8, 2018
    Inventors: Raksha Sharma, Sandipan Dandapat, Himanshu Sharad Bhatt