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	Bring you to the past: Automatic generation of topically relevant event chronicles
	Ge, Tao ; Pei, Wenzhe ; Ji, Heng ; Li, Sujian ; Chang, Baobao ; Sui, Zhifang
	2015
英文摘要	An event chronicle provides people with an easy and fast access to learn the past. In this paper, we propose the first novel approach to automatically generate a topically relevant event chronicle during a certain period given a reference chronicle during another period. Our approach consists of two core components - a timeaware hierarchical Bayesian model for event detection, and a learning-to-rank model to select the salient events to construct the final chronicle. Experimental results demonstrate our approach is promising to tackle this new problem. ? 2015 Association for Computational Linguistics.; EI; 575-585; 1
语种	英语
出处	53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423407]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Ge, Tao,Pei, Wenzhe,Ji, Heng,et al. Bring you to the past: Automatic generation of topically relevant event chronicles. 2015-01-01.

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