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This paper proposes an improved approach of summarization for spoken multi-party interaction, in which integrated random walk is performed on a graph constructed with topical/lexical relations. Each utterance is represented as a node of the graph and the edge between two nodes is weighted by the similarity between the two utterances, where we use two types of edges, one from topical similarity evaluated by probabilistic latent semantic analysis (PLSA) and another from word overlap. We modeldoi:10.1184/r1/6473459.v1 fatcat:gzbsmggjojgtjp6fc27zv3q2fi