Patents by Inventor Nikunj Agrawal

Nikunj Agrawal 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).

  • Publication number: 20230385321
    Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a query term is obtained from a natural language query. A table summary is prepared based on the query term and a formula of the natural language query is generated based on the table summary. A result is generated based on the formula. Responsive to receiving negative feedback to the result, one or more of the table summary or the formula is disassociated from the query term.
    Type: Application
    Filed: July 28, 2023
    Publication date: November 30, 2023
    Inventors: Nikunj Agrawal, Mukund Sundararajan, Shrikant Ravindra Shanbhag, Kedar Dhamdhere, Garima, Kevin Snow Mccurley, Rohit Ananthakrishna, Daniel Adam Gundrum, Juyun June Song, Rifat Ralfi Nahmias
  • Patent number: 11714841
    Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: August 1, 2023
    Assignee: Google LLC
    Inventors: Nikunj Agrawal, Mukund Sundararajan, Shrikant Ravindra Shanbhag, Kedar Dhamdhere, Null Garima, Kevin Snow Mccurley, Rohit Ananthakrishna, Daniel Adam Gundrum, Juyun June Song, Rifat Ralfi Nahmias
  • Publication number: 20210271697
    Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
    Type: Application
    Filed: May 3, 2021
    Publication date: September 2, 2021
    Inventors: Nikunj Agrawal, Mukund Sundararajan, Shrikant Ravindra Shanbhag, Kedar Dhamdhere, Null Garima, Kevin Snow Mccurley, Rohit Ananthakrishna, Daniel Adam Gundrum, Juyun June Song, Rifat Ralfi Nahmias
  • Patent number: 10997227
    Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
    Type: Grant
    Filed: January 18, 2017
    Date of Patent: May 4, 2021
    Assignee: Google LLC
    Inventors: Nikunj Agrawal, Mukund Sundararajan, Shrikant Ravindra Shanbhag, Kedar Dhamdhere, Garima, Kevin Snow McCurley, Rohit Ananthakrishna, Daniel Adam Gundrum, Juyun June Song, Rifat Ralfi Nahmias
  • Publication number: 20210046125
    Abstract: Described herein are methods of producing decellularized tissue hydrogels. In some aspects, the decellularized tissue hydrogels can contain one or more extracellular matrix proteins. Also described herein are methods of making the decellularized tissue hydrogels. Also described herein are methods of using the decellularized tissue hydrogels. In some aspects, the decellularized tissue hydrogels or a pre-gel solution can be administered to a subject.
    Type: Application
    Filed: February 21, 2019
    Publication date: February 18, 2021
    Inventors: Nikunj Agrawal, Jonathan Griffin, Christine E. Schmidt, Michaela W. McCrary, Deanna Bousalis, Young Hye Song
  • Publication number: 20180203924
    Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.
    Type: Application
    Filed: January 18, 2017
    Publication date: July 19, 2018
    Inventors: Nikunj Agrawal, Mukund Sundararajan, Shrikant Ravindra Shanbhag, Kedar Dhamdhere, Garima, Kevin Snow McCurley, Rohit Ananthakrishna, Daniel Adam Gundrum, Juyun June Song, Rifat Ralfi Nahmias