QUESTION AND ANSWER PROCESSING, LANGUAGE MODEL TRAINING METHOD, DEVICE, EQUIPMENT AND STORAGE MEDIUM

摘要

The present application discloses a question-and-answer processing, a language model training method, an apparatus, a device, and a storage medium, and relates to the field of natural language processing. A specific implementation method is to obtain at least one candidate table matching the problem to be searched, each candidate table including one candidate answer corresponding to the problem; Processing at least one candidate table to obtain at least one table text, wherein the table text includes text content of each field in the candidate table, and the field includes a title, a header, and a cell; Inputting the problem and each table text into a predetermined language model, respectively, to obtain a matching degree between the character and each candidate table; The answer table is output according to the matching degree of each candidate table, and the answer table is a candidate table corresponding to a maximum matching degree or a candidate table in which the degree of matching with a problem exceeds a preset value among at least one candidate table. The present application performs semantic matching on a problem and a text using a language model, and improves the accuracy and recall rate of matching problems and tables.