Question Answer Categorization

Question-Answer categorization is an important task in natural language processing aimed at classifying questions and answers into predefined categories. This task enhances the efficiency and accuracy of information retrieval and question answering systems by identifying and categorizing types of questions and their corresponding answers. The core objective is to build models that can automatically classify questions and answers, thereby optimizing user query experiences and improving the quality and speed of system responses. In practical applications, Question-Answer categorization is widely used in intelligent customer service, knowledge management, educational assessment, and other fields, providing efficient and precise information services for businesses and individuals.