Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning

arXiv:2404.11384v1 Announce Type: new
Abstract: Key Point Analysis (KPA), the summarization of multiple arguments into a concise collection of key points, continues to be a significant and unresolved issue within the field of argument mining. Existing models adapt a two-stage pipeline of clustering arguments or generating key points for argument clusters. This approach rely on semantic similarity instead of measuring the existence of shared key points among arguments. Additionally, it only models the intra-cluster relationship among arguments, disregarding the inter-cluster …

abstract adapt analysis arxiv clustering collection cs.cl cs.lg graph issue key mining multiple partitioning pipeline stage summarization type