Patents by Inventor Deepak Shantha Murthy

Deepak Shantha Murthy 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).

  • Enriching dataset metadata with business semantics for natural language answering
    Patent number: 12530524
    Abstract: This disclosure describes techniques and architecture for enriching dataset metadata of datasets arranged in tabular form comprising rows and columns, wherein each column has a name. The dataset metadata is enriched with business semantics for natural language question answering. The techniques include one or more of generating one or more synonyms for each name; ranking the names with respect to a likelihood that a column includes possible data to be returned to a user in response to a received NLQ from the user; predicting a date granularity for each column; and predicting a semantic type to describe values in the columns.
    Type: Grant
    Filed: November 28, 2022
    Date of Patent: January 20, 2026
    Assignee: Amazon Technologies, Inc.
    Inventors: Joshua Noah Malters, Joseph Robert Lilien, Stephen Michael Ash, Jiayong Hu, Jiajun Cao, Aravind Kalakuntla, Deepak Shantha Murthy, Ravindra Sudhindra, Rajesh Patel, Patrick Ng, Zhiguo Wang, Gregory David Adams
  • Interactive assistance for executing natural language queries to data sets
    Patent number: 12007988
    Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.
    Type: Grant
    Filed: March 10, 2023
    Date of Patent: June 11, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
  • INTERACTIVE ASSISTANCE FOR EXECUTING NATURAL LANGUAGE QUERIES TO DATA SETS
    Publication number: 20230325384
    Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.
    Type: Application
    Filed: March 10, 2023
    Publication date: October 12, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li
  • Interactive assistance for executing natural language queries to data sets
    Patent number: 11604794
    Abstract: Interactive assistances for executing natural language queries to data sets may be performed. A natural language query may be received. Candidate entity linkages may be determined between an entity recognized in the natural language query and columns in data sets. The candidate linkages may be ranked according to confidence scores which may be evaluated to detect ambiguity for an entity linkage. Candidate entity linkages may be provided to a user via an interface to select an entity linkage to use as part of completing the natural language query.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: March 14, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ramesh M Nallapati, Zhiguo Wang, Bing Xiang, Patrick Ng, Yung Haw Wang, Mukul Karnik, Nanyan Li, Sharanabasappa Parashuram Revadigar, Timothy Jones, Stephen Michael Ash, Sudipta Sengupta, Gregory David Adams, Deepak Shantha Murthy, Douglas Scott Cerny, Stephanie Weeks, Hanbo Li