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	Summarizing complex events: A cross-modal solution of storylines extraction and reconstruction
	Xu, Shize ; Wang, Shanshan ; Zhang, Yan
	2013
英文摘要	The rapid development of Web2.0 leads to significant information redundancy. Especially for a complex news event, it is difficult to understand its general idea within a single coherent picture. A complex event often contains branches, intertwining narratives and side news which are all called storylines. In this paper, we propose a novel solution to tackle the challenging problem of storylines extraction and reconstruction. Specifically, we first investigate two requisite properties of an ideal storyline. Then a unified algorithm is devised to extract all effective storylines by optimizing these properties at the same time. Finally, we reconstruct all extracted lines and generate the high-quality story map. Experiments on real-world datasets show that our method is quite efficient and highly competitive, which can bring about quicker, clearer and deeper comprehension to readers. ? 2013 Association for Computational Linguistics.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412071]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xu, Shize,Wang, Shanshan,Zhang, Yan. Summarizing complex events: A cross-modal solution of storylines extraction and reconstruction. 2013-01-01.

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