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洞見 - Key Point Analysis
Generating Concise Key Points from Arguments using Pairwise Generation and Graph Partitioning
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.
Leveraging Large Language Models for Flexible and Impartial Key Point Analysis through Question-Answering Network Construction
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.
