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.

Date of Patent:
Jul. 08, 2025

Filed:

Jun. 18, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Yan Gao, Redmond, WA (US);

Lei Fang, Redmond, WA (US);

Dongmei Zhang, Beijing, CN;

Yan Xiao, Redmond, WA (US);

Jian-Guang Lou, Redmond, WA (US);

Maria Del Mar Gines Marin, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/2452 (2019.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06F 16/24522 (2019.01); G06F 16/243 (2019.01);
Abstract

According to implementations of the subject matter described herein, a solution for semantic parsing of the natural language query is provided. In this solution, a first natural language query for a first data table is received, where the first natural language query comprises words. A first set of knowledge representations associated with the first data table are obtained and the first set of knowledge representations describe, in a structured manner, knowledge required for understanding a natural language query for the first data table. The first natural language query is converted into a first sequence of symbols. A first computer-executable query corresponding to the first natural language query is generated. According to this solution, various kinds of knowledge representations from different fields can be represented into universal structured knowledge representations, such that the knowledge representations are used to assist in understanding semantics of natural language queries and generating corresponding computer-executable queries.


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