Patents by Inventor Sharanabasappa Parashuram Revadigar

Sharanabasappa Parashuram Revadigar 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).

  • 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
  • Providing query restatements for explaining natural language query results
    Patent number: 11726994
    Abstract: Query restatements may be provided for explaining natural language query results. A natural language query is received at a natural language query processing system. An intermediate representation of the natural language query is generated for executing the natural language query. The intermediate representation is translated into a natural language restatement of the natural language query. The natural language restatement is provided with a result of the natural language query via an interface of the natural language query processing system.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: August 15, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Sudipta Sengupta, Yung Haw Wang
  • Multiple stage filtering for natural language query processing pipelines
    Patent number: 11726997
    Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.
    Type: Grant
    Filed: November 14, 2022
    Date of Patent: August 15, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
  • MULTIPLE STAGE FILTERING FOR NATURAL LANGUAGE QUERY PROCESSING PIPELINES
    Publication number: 20230078177
    Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.
    Type: Application
    Filed: November 14, 2022
    Publication date: March 16, 2023
    Applicant: Amazon Technologies, Inc.
    Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner
  • 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
  • Multiple stage filtering for natural language query processing pipelines
    Patent number: 11500865
    Abstract: Multiple stage filtering may be implemented for natural language query processing pipelines. Natural language queries may be received at a natural language query processing system and processed through a query language processing pipeline. The query language processing pipeline may filter candidate linkages for a natural language query before performing further filtering of the candidate linkages in the natural language query processing pipeline as part of generating an intermediate representation used to execute the natural language query.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: November 15, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Jun Wang, Zhiguo Wang, Sharanabasappa Parashuram Revadigar, Ramesh M Nallapati, Bing Xiang, Stephen Michael Ash, Timothy Jones, Sudipta Sengupta, Rishav Chakravarti, Patrick Ng, Jiarong Jiang, Hanbo Li, Donald Harold Rivers Weidner