Abstract
In this paper we investigate a new task of automatically constructing an overview article from a given set of news articles about a news event. We propose a news synthesis approach to address this task based on passage segmentation, ranking, selection and merging. Our proposed approach is compared with several typical multi-document summarization methods on the Wikinews dataset, and achieves the best performance on both automatic evaluation and manual evaluation.
Cite
CITATION STYLE
Zhang, J., & Wan, X. (2017). Towards automatic construction of news overview articles by news synthesis. In EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings (pp. 2111–2116). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d17-1224
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