42 Maru Inc.

In Je Seong

Dong Hwan Kim

Sun Young Lee

Hyun Ok Kim

You Kyung Kwon

Hyun Wuk Son

Ha Kyeom Moon

Ah Rim Sohn

Yong Sun Choi

Jun Hyeok Park

Han Soo Kim

A method of retrieving a document according to an embodiment of the present application includes: acquiring a user retrieval query; calculating a user inquiry vector in a unit of sentence from the user retrieval query and acquiring a first document candidate group based on similarity between the calculated user inquiry vector and an embedding vector of a document stored in a retrieval database; acquiring a second document candidate group based on similarity between a text included in the user retrieval query and a text of the document stored in the retrieval database; and determining a summarization target document based on the first document candidate group and the second document candidate group.

Method of retrieving document and apparatus for retrieving document

Provided are a device and method for converting a natural language query into a structured query language (SQL) query for a database search. The method includes an operation A of labeling natural language queries included in training data, an operation B of converting the natural language queries into second SQL queries by applying the natural language queries to an SQL conversion model, an operation C of verifying the second SQL queries, and an operation D of training the SQL conversion model by comparing the second SQL queries with third SQL queries corresponding to the natural language queries of the training data.

Device and method for converting natural language query into SQL query

Growing community of inventors

Seoul, South Korea

In Je Seong