Research on Machine Reading Comprehension Model Based on Bidirectional Attention

Machine Reading Comprehension (MRC) is a significant subfield of Natural Language Processing (NLP) and has become a hot research topic in recent years. It is an algorithm that allows a machine to understand natural language text and answer based on questions. With the rapid development of deep learning, MRC, especially attention mechanisms, has emerged as a primary technique in NLP.This paper focuses on the development and principles of attention mechanisms, along with introducing three MRC models based on bidirectional attention. Bidirectional attention helps the models extract crucial information, enhancing accuracy and enabling broader applications in various NLP tasks.