Title | Bring you to the past: Automatic generation of topically relevant event chronicles |
Authors | Ge, Tao Pei, Wenzhe Ji, Heng Li, Sujian Chang, Baobao Sui, Zhifang |
Affiliation | Key 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 Date | 2015 |
Publisher | 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 |
Citation | 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.Beijing, China,2015/1/1,1(575-585). |
Abstract | 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. |
URI | http://hdl.handle.net/20.500.11897/423407 |
ISSN | 9781941643723 |
Indexed | EI |
Appears in Collections: | 计算语言学教育部重点实验室 |