A Graph-based Approach to Cross-language Multi-document Summarization

A graph-based approach to multi-document summarization that integrates machine translation quality scores in the sentence extraction process is proposed and results indicate that the approach improves the readability of the generated summaries without degrading their informativity.

Abstract

Cross–language summarization is the task of generating a summary in a language different from the language of the source documents. In this paper, we propose a graph–based approach to multi–document summarization that integrates machine translation quality scores in the sentence extraction process. We evaluate our method on a manually translated subset of the DUC 2004 evaluation campaign. Results indicate that our approach improves the readability of the generated summaries without degrading their informativity