Patents by Inventor Dagmawi Sraj

Dagmawi Sraj 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).

  • Hybrid clustering and pairwise comparison document matching
    Patent number: 11521409
    Abstract: An approach for determining similar text documents. The approach can calculate a first set of vectors for a first cluster of text documents and a first comparison vector for a text document of interest. The approach can select a subset of text documents from the cluster of text documents based on comparing the vectors from the first set of vectors to the first comparison vector and picking a predetermined number of closest comparison text documents. The approach can calculate a second set of vectors for the subset of documents and second comparison vector for the document of interest. The approach can generate similarity ratings for the subset of documents based on pairwise comparisons of the second comparison vector and the second set of vectors. The approach can generate a ranked list of the second cluster of text documents based on the similarity ratings.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: December 6, 2022
    Assignee: International Business Machines Corporation
    Inventors: Rachel Tzoref-Brill, Lucas Liu, Brian Midei, Dagmawi Sraj, Thomas North Adams, Tianqiong Wang
  • HYBRID CLUSTERING AND PAIRWISE COMPARISON DOCUMENT MATCHING
    Publication number: 20220327310
    Abstract: An approach for determining similar text documents. The approach can calculate a first set of vectors for a first cluster of text documents and a first comparison vector for a text document of interest. The approach can select a subset of text documents from the cluster of text documents based on comparing the vectors from the first set of vectors to the first comparison vector and picking a predetermined number of closest comparison text documents. The approach can calculate a second set of vectors for the subset of documents and second comparison vector for the document of interest. The approach can generate similarity ratings for the subset of documents based on pairwise comparisons of the second comparison vector and the second set of vectors. The approach can generate a ranked list of the second cluster of text documents based on the similarity ratings.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 13, 2022
    Inventors: Rachel Tzoref-Brill, Lucas Liu, Brian Midei, Dagmawi Sraj, Thomas North Adams, Tianqiong Wang