
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.


coremsg

generating-concise-key-points-from-arguments-using-pairwise-generation-and-graph-partitioning


Generating Concise Key Points from Arguments using Pairwise Generation and Graph Partitioning


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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.


leveraging-large-language-models-for-flexible-and-impartial-key-point-analysis-through-question-answering-network-construction


Leveraging Large Language Models for Flexible and Impartial Key Point Analysis through Question-Answering Network Construction
