Abstract: 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.

Abstract: The present disclosure relates to a method and device for generating an answer to a multiple-choice question, and an object of the present disclosure is to improve accuracy of answer generation by predicting an incorrect answer as well as a correct answer through a plurality of networks. In order to achieve the above object, the present disclosure provides a device for detecting an incorrect answer based on a text, a question, and a plurality of options corresponding to a multiple-choice question, including: a first network that predicts a correct answer by calculating a correct answer probability corresponding to each of the plurality of options, a second network that predicts an incorrect answer by calculating an incorrect answer probability corresponding to each of the plurality of options, and a third network that selects a final prediction based on the correct answer probability of the first network and the incorrect answer probability of the second network.