Patents by Inventor Amitabh Singhal

Amitabh Singhal 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: 20240070204
    Abstract: A current set of context features for a database query that is associated with a string is identified. The database query includes a sequence of tokens of a database syntax, and the current set of context features includes words from the string and tokens from the database query. An inference record is selected from an inference store based on a comparison of the current set of context features to context features of inference records in the inference store. The database query is modified using a resolution of the inference record to obtain an inferred database query. The resolution includes one or more tokens of the database syntax. A search of a database is invoked using a query based on the inferred database query to obtain search results.
    Type: Application
    Filed: September 1, 2023
    Publication date: February 29, 2024
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Venkata Rahul Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Patent number: 11790006
    Abstract: Providing a search interface for a database includes receiving string data entered via a user interface. A sequence of tokens representative of the string data is determined. Determining the sequence of tokens includes applying natural language processing to the string data. A first database query is generated in accordance with the sequence of tokens. Respective text representations for tokens in the sequence of tokens are presented via the user interface. Feedback data related to the sequence of tokens is received via the user interface. A token of the sequence of tokens is modified based on the feedback data to obtain a modified sequence of tokens. A second database query is generated based on the modified sequence of tokens. Results data are obtained from the database responsive to execution of the second database query by the database. Data based on the results data are output for presentation in the user interface.
    Type: Grant
    Filed: October 21, 2021
    Date of Patent: October 17, 2023
    Assignee: ThoughtSpot, Inc.
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Publication number: 20220067104
    Abstract: Providing a search interface for a database includes receiving string data entered via a user interface. A sequence of tokens representative of the string data is determined. Determining the sequence of tokens includes applying natural language processing to the string data. A first database query is generated in accordance with the sequence of tokens. Respective text representations for tokens in the sequence of tokens are presented via the user interface. Feedback data related to the sequence of tokens is received via the user interface. A token of the sequence of tokens is modified based on the feedback data to obtain a modified sequence of tokens. A second database query is generated based on the modified sequence of tokens. Results data are obtained from the database responsive to execution of the second database query by the database. Data based on the results data are output for presentation in the user interface.
    Type: Application
    Filed: October 21, 2021
    Publication date: March 3, 2022
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Patent number: 11157564
    Abstract: Systems and methods for natural language question answering are described. For example, methods may include determining a set of candidate database queries, including respective sequences of tokens of a database syntax, based on a string; determining a first score for a first candidate database query from the set of candidate database queries, wherein the first score is based on a match between one or more words of the string and a token of the respective sequence of tokens of the first candidate database query; determining a second score for the first candidate database query, wherein the second score is based on natural language syntax data determined for words of the string; selecting, based on the first score and the second score, the first candidate database query from the set of candidate database queries; and invoking a search of the database using the first candidate database query to obtain search results.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: October 26, 2021
    Assignee: ThoughtSpot, Inc.
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Patent number: 10496652
    Abstract: Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may detect at least one document within the cluster; analyze a parameter corresponding to the document; and compute a cluster score based, in part, on the parameter, wherein the cluster score corresponds with at least one document within the cluster.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: December 3, 2019
    Assignee: Google LLC
    Inventors: Krishna Bharat, Jeffrey A. Dean, Michael Curtiss, Amitabh Singhal, Michael Schmitt
  • Publication number: 20190272296
    Abstract: Systems and methods for natural language question answering are described. For example, methods may include determining a set of candidate database queries, including respective sequences of tokens of a database syntax, based on a string; determining a first score for a first candidate database query from the set of candidate database queries, wherein the first score is based on a match between one or more words of the string and a token of the respective sequence of tokens of the first candidate database query; determining a second score for the first candidate database query, wherein the second score is based on natural language syntax data determined for words of the string; selecting, based on the first score and the second score, the first candidate database query from the set of candidate database queries; and invoking a search of the database using the first candidate database query to obtain search results.
    Type: Application
    Filed: January 30, 2019
    Publication date: September 5, 2019
    Inventors: Amit Prakash, Ravi Tandon, Manikanta Balakavi, Pavan Ram Piratla, Ashish Shubham, Alonzo Canada, Rakesh Kothari, Maneesh Apte, Amitabh Singhal, Aditya Viswanathan, Ajeet Singh
  • Patent number: 9477714
    Abstract: Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may detect at least one document within the cluster; analyze a parameter corresponding to the document; and compute a cluster score based, in part, on the parameter, wherein the cluster score corresponds with at least one document within the cluster.
    Type: Grant
    Filed: September 17, 2014
    Date of Patent: October 25, 2016
    Assignee: Google Inc.
    Inventors: Krishna Bharat, Jeffrey A. Dean, Michael Curtiss, Amitabh Singhal, Michael Schmitt
  • Patent number: 8843479
    Abstract: Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may detect at least one document within the cluster; analyze a parameter corresponding to the document; and compute a cluster score based, in part, on the parameter, wherein the cluster score corresponds with at least one document within the cluster.
    Type: Grant
    Filed: November 18, 2011
    Date of Patent: September 23, 2014
    Assignee: Google Inc.
    Inventors: Krishna Bharat, Jeff Dean, Michael Curtiss, Amitabh Singhal, Michael Schmitt
  • Patent number: 8090717
    Abstract: Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may detect at least one document within the cluster; analyze a parameter corresponding to the document; and compute a cluster score based, in part, on the parameter, wherein the cluster score corresponds with at least one document within the cluster.
    Type: Grant
    Filed: June 30, 2003
    Date of Patent: January 3, 2012
    Assignee: Google Inc.
    Inventors: Krishna Bharat, Jeff Dean, Michael Curtiss, Amitabh Singhal, Michael Schmitt
  • Publication number: 20090055392
    Abstract: A system and method for providing preferred language and/or country ordering of search results is described. A search query describing potentially retrievable information provided in a plurality of search result languages and/or countries is received. A search is executed by evaluating the search query against information characteristics maintained in a searchable data repository. At least one preferred language and/or country applicable to search results generated is dynamically determined responsive to the executed search. At least some of the search results are ordered in consideration of the at least one preferred language and/or country.
    Type: Application
    Filed: October 21, 2008
    Publication date: February 26, 2009
    Applicant: GOOGLE INC.
    Inventors: Vineet Gupta, Ben Gomes, John Lamping, Mizuki McGrath, Amitabh Singhal, Simon Tong
  • Publication number: 20070233808
    Abstract: Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).
    Type: Application
    Filed: March 31, 2006
    Publication date: October 4, 2007
    Inventors: Daniel Egnor, Paul Haahr, Kevin Lacker, John Lamping, Amitabh Singhal, Ke Yang
  • Publication number: 20060074907
    Abstract: A system identifies a document relating to a search term, where the document includes a set of structural elements. The system determines a distribution of occurrences of the search term in the document, identifies one of the structural elements based on the distribution of occurrences of the search term in the document, and presents information associated with the identified structural element.
    Type: Application
    Filed: September 27, 2004
    Publication date: April 6, 2006
    Inventors: Amitabh Singhal, Viresh Ratnakar, Maxim Lifantsev, Joseph O'Sullivan
  • Publication number: 20060036593
    Abstract: A multi-stage query processing system and method enables multi-stage query scoring, including “snippet” generation, through incremental document reconstruction facilitated by a multi-tiered mapping scheme. At one or more stages of a multi-stage query processing system a set of relevancy scores are used to select a subset of documents for presentation as an ordered list to a user. The set of relevancy scores can be derived in part from one or more sets of relevancy scores determined in prior stages of the multi-stage query processing system. In some embodiments, the multi-stage query processing system is capable of executing one or more passes on a user query, and using information from each pass to expand the user query for use in a subsequent pass to improve the relevancy of documents in the ordered list.
    Type: Application
    Filed: August 13, 2004
    Publication date: February 16, 2006
    Inventors: Jeffrey Dean, Paul Haahr, Olcan Sercinoglu, Amitabh Singhal