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	Visualizing timelines: Evolutionary summarization via iterative reinforcement between text and image streams
	Yan, Rui ; Wan, Xiaojun ; Lapata, Mirella ; Zhao, Wayne Xin ; Cheng, Pu-Jen ; Li, Xiaoming
	2012
英文摘要	We present a novel graph-based framework for timeline summarization, the task of creating different summaries for different timestamps but for the same topic. Our work extends timeline summarization to a multimodal setting and creates timelines that are both textual and visual. Our approach exploits the fact that news documents are often accompanied by pictures and the two share some common content. Our model optimizes local summary creation and global timeline generation jointly following an iterative approach based on mutual reinforcement and co-ranking. In our algorithm, individual summaries are generated by taking into account the mutual dependencies between sentences and images, and are iteratively refined by considering how they contribute to the global timeline and its coherence. Experiments on real-world datasets show that the timelines produced by our model outperform several competitive baselines both in terms of ROUGE and when assessed by human evaluators. ? 2012 ACM.; EI; 0
语种	英语
DOI标识	10.1145/2396761.2396799
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/411829]
专题	计算机科学技术研究所 信息科学技术学院
推荐引用方式 GB/T 7714	Yan, Rui,Wan, Xiaojun,Lapata, Mirella,et al. Visualizing timelines: Evolutionary summarization via iterative reinforcement between text and image streams. 2012-01-01.

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