公开(公告)号：US20250061111A1

公开(公告)日：2025-02-20

申请号：US18725248

申请日：2021-12-30

Applicant: POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION

Inventor： Wook Shin HAN ,  Hyuk Kyu KANG ,  Hyeon Ji KIM

IPC: G06F16/242 ,  G06F16/21

Abstract: A learning data set enhancing method comprises the steps of: determining a first initial learning data set comprising a first learning-purpose natural language query, database information regarding the database, and a first learning-purpose SQL query corresponding to the first learning-purpose natural language query; generating first novel database information regarding a first novel database having a different schema from the database by applying a first schema modification operation to the database; generating a first novel learning-purpose SQL query regarding the first novel database by applying a first SQL query synchronization operation corresponding to the first schema modification operation to the first learning-purpose SQL query; and determining a first novel learning data set comprising the first learning-purpose natural language query, the first novel database information, and the first novel learning-purpose SQL query.

公开(公告)号：US20230169075A1

公开(公告)日：2023-06-01

申请号：US17964807

申请日：2022-10-12

Applicant: POSTECH Research and Business Development Foundation

Inventor： Wook Shin HAN ,  Hyuk Kyu KANG ,  Hyeon Ji KIM

IPC: G06F16/2452 ,  G06F16/242

CPC classification number: G06F16/24522 ,  G06F16/2433

Abstract: Disclosed is a natural language query processing apparatus comprising, a processor that receives a natural language query input by a user and generates a structured query based on the natural language query, wherein the processor, when generating the structured query based on the natural language query, generates the structured query using a natural language processing result for the natural language query, a schema relationship extracted based on a relationship between subdatabases in a database related to the natural language query, and a cross-attention result generated between the natural language processing result and the schema relationship.