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        <title>Towards Automatic Construction of News Overview Articles by News Synthesis</title>
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        <namePart type="given">Jianmin</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/D17-1224</identifier>
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%0 Conference Proceedings
%T Towards Automatic Construction of News Overview Articles by News Synthesis
%A Zhang, Jianmin
%A Wan, Xiaojun
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F zhang-wan-2017-towards
%X 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.
%R 10.18653/v1/D17-1224
%U https://aclanthology.org/D17-1224
%U https://doi.org/10.18653/v1/D17-1224
%P 2111-2116

Markdown (Informal)

[Towards Automatic Construction of News Overview Articles by News Synthesis](https://aclanthology.org/D17-1224) (Zhang & Wan, EMNLP 2017)

• Towards Automatic Construction of News Overview Articles by News Synthesis (Zhang & Wan, EMNLP 2017)

ACL

• Jianmin Zhang and Xiaojun Wan. 2017. Towards Automatic Construction of News Overview Articles by News Synthesis. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2111–2116, Copenhagen, Denmark. Association for Computational Linguistics.