Improving chronological sentence ordering by precedence relation

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Abstract

It is necessary to find a proper arrangement of sentences in order to generate a well-organized summary from multiple documents. In this paper we describe an approach to coherent sentence ordering for summarizing newspaper articles. Since there is no guarantee that chronological ordering of extracted sentences, which is widely used by conventional summarization system, arranges each sentence behind presupposed information of the sentence, we improve chronological ordering by resolving antecedent sentences of arranged sentences. Combining the refinement algorithm with topical segmentation and chronological ordering, we address our experiment to test the effectiveness of the proposed method. The results reveal that the proposed method improves chronological sentence ordering.

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APA

Okazaki, N., Matsuo, Y., & Ishizuka, M. (2004). Improving chronological sentence ordering by precedence relation. In COLING 2004 - Proceedings of the 20th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL). https://doi.org/10.3115/1220355.1220463

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