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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11157564 B1

PDFFull Text
Date of Patent:
Oct. 26, 2021

Filed:

Jan. 30, 2019

Natural language question answering systems

Applicant:

Thoughtspot, Inc., Palo Alto, CA (US);

Inventors:

Amit Prakash, Saratoga, CA (US);

Ravi Tandon, Sunnyvale, CA (US);

Manikanta Balakavi, Mountain View, CA (US);

Pavan Ram Piratla, Campbell, CA (US);

Ashish Shubham, Mountain View, CA (US);

Alonzo Canada, Menlo Park, CA (US);

Rakesh Kothari, San Jose, CA (US);

Maneesh Apte, Redwood City, CA (US);

Amitabh Singhal, Palo Alto, CA (US);

Aditya Viswanathan, Redwood City, CA (US);

Ajeet Singh, Saratoga, CA (US);

Assignee:

ThoughtSpot, Inc., Sunnyvale, CA (US);

Attorney:

Young Basile Hanlon & MacFarlane, P.C.

Primary Examiner:

Hung D Le

Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 16/903 (2019.01); G06N 5/04 (2006.01); G06N 7/00 (2006.01); G06F 16/2453 (2019.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06F 16/90335 (2019.01); G06F 16/243 (2019.01); G06F 16/24534 (2019.01); G06N 5/04 (2013.01); G06N 7/005 (2013.01);
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.

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