The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Inferring temporal ordering of events in news
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Probabilistic text structuring: experiments with sentence ordering
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Inferring strategies for sentence ordering in multidocument news summarization
Journal of Artificial Intelligence Research
Describing and generating multimodal contents featuring affective lifelike agents with MPML
New Generation Computing
A bottom-up approach to sentence ordering for multi-document summarization
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Automatic Evaluation of Information Ordering: Kendall's Tau
Computational Linguistics
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
Information Processing and Management: an International Journal
Measuring variability in sentence ordering for news summarization
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
A bottom-up approach to sentence ordering for multi-document summarization
Information Processing and Management: an International Journal
A model for Chinese sentence ordering based on Markov model
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Aggregation of multiple judgments for evaluating ordered lists
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
A preference learning approach to sentence ordering for multi-document summarization
Information Sciences: an International Journal
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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.