Chinese Multi-document Summarization Based on Redundancy Control

Multi-document summarization can help people to access information automatically and fast.Compared to single-document summarization,multi-document lays more emphasis on the correlation and redundancy between documents.Therefore,how to control information redundancy is a key problem to multi-document summarization.This paper proposes a model of redundancy control based on the features of summary.In this model,various similarities among the text units over topic's probability distribution are used to determine the choice of a sentence.Experimental results show that this method can reduce redundancy effectively,and produce better overall performance than existing systems.