Automatic Answer using Recognition of Implications of Car License Exam Questions

Abstract

We have developed a solver for the test of car licence in Japan as an example of anautomatic rule judgment system.In this study, we examined how to automatically divide the situation explanation part and the question part for a given sentence and solve it as a task of recognition of textual entailment.We solved the problem using BERT, which is one of the large-scale general-purpose language expression models.It was found that the rule-based division method we set, improved the accuracy of automatic answering.