Answerability Prediction

Answerability Prediction is an important task in natural language processing that aims to evaluate whether a given question can be effectively answered by existing documents or knowledge bases. Its core objective is to predict the answerability of questions by analyzing their relevance to the documents, thereby optimizing the performance of information retrieval and question-answering systems. This technology has significant application value in intelligent customer service, search engines, and knowledge management systems, capable of significantly enhancing user experience and system efficiency.