Event-Based Summarization Using Critical Temporal Event Term Chain

Authors:
Maofu Liu;Wenjie Li;Xiaolong Zhang;Ji Zhang
Affiliations:
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P.R. China and Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P.R. China;Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

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Abstract

In this paper, we investigate whether temporal relations among event terms can help improve event-based summarization and text cohesion of final summaries. By connecting event terms with happens-before relations, we build a temporal event term graph for source documents. The event terms in the critical temporal event term chain identified from the maximal weakly connected component are used to evaluate the sentences in source documents. The most significant sentences are included in final summaries. Experiments conducted on the DUC 2001 corpus show that event-based summarization using the critical temporal event term chain is able to organize final summaries in a more coherent way and make improvement over the well-known tf*idf-based and PageRank-based summarization approaches.