Method for training machine reading comprehension model, computer-readable recording medium and question answering system

Abstract

The disclosure relates to a method for training a machine reading comprehension model, a computer-readable recording medium storing the method, and a question answering system using a trained machine reading comprehension model. The method for training a machine reading comprehension model includes: obtaining features of input sentences; generating an input sequence including a plurality of tokens based on at least one feature among the obtained features; embedding the input sequence using a pre-trained language model; inputting an output embedding, obtained by embedding the input sequence, to a first encoding layer to perform word-level encoding; and inputting a portion of hidden states of the first encoding layer to a second encoding layer to perform sentence-level encoding.