TitleBring you to the past: Automatic generation of topically relevant event chronicles
AuthorsGe, Tao
Pei, Wenzhe
Ji, Heng
Li, Sujian
Chang, Baobao
Sui, Zhifang
AffiliationKey Laboratory of Computational Linguistics, Ministry of Education, Peking University, Beijing, China
Collaborative Innovation Center for Language Ability, Xuzhou, Jiangsu, China
Computer Science Department, Rensselaer Polytechnic Institute, Troy, NY, United States
Issue Date2015
Publisher53rd 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
Citation53rd 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.Beijing, China,2015/1/1,1(575-585).
AbstractAn 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.
URIhttp://hdl.handle.net/20.500.11897/423407
ISSN9781941643723
IndexedEI
Appears in Collections:计算语言学教育部重点实验室

Files in This Work
There are no files associated with this item.

Web of Science®



Checked on Last Week

百度学术™



Checked on Current Time




License: See PKU IR operational policies.