Towards a unified approach to simultaneous single-document and multi-document summarizations

Authors:
Xiaojun Wan
Affiliations:
Peking University
Venue:
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Year:
2010

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Abstract

Single-document summarization and multi-document summarization are very closely related tasks and they have been widely investigated independently. This paper examines the mutual influences between the two tasks and proposes a novel unified approach to simultaneous single-document and multi-document summarizations. The mutual influences between the two tasks are incorporated into a graph model and the ranking scores of a sentence for the two tasks can be obtained in a unified ranking process. Experimental results on the benchmark DUC datasets demonstrate the effectiveness of the proposed approach for both single-document and multi-document summarizations.