A novel approach that simultaneously generates key points for pairs of arguments and partitions the arguments into clusters sharing the same key points to produce a concise set of key points.
The proposed QANA framework utilizes Large Language Models to generate diverse questions from user comments, construct a Question-Answering network, and apply centrality measures to identify important key points from multiple perspectives, enhancing the quality and impartiality of opinion mining.