Building document graphs for multiple news articles summarization: an event-based approach

Authors:
Wei Xu;Chunfa Yuan;Wenjie Li;Mingli Wu;Kam-Fai Wong
Affiliations:
Department of Computer Science and Technology, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Hong Kong;Department of System Engineering, The Chinese University of Hong Kong, Hong Kong
Venue:
ICCPOL'06 Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead
Year:
2006

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Abstract

Since most of news articles report several events and these events are referred in many related documents, we propose an event-based approach to visualize documents as graph on different conceptual granularities. With graph-based ranking algorithm, we illustrate the application of document graph to multi-document summarization. Experiments on DUC data indicate that our approach is competitive with state-of-the-art summarization techniques. This graphical representation which does not require training corpora can be potentially adapted to other languages.