Paper: Summarization of Historical Articles Using Temporal Event Clustering

ACL ID N12-1080
Title Summarization of Historical Articles Using Temporal Event Clustering
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

In this paper, we investigate the use of tempo- ral information for improving extractive sum- marization of historical articles. Our method clusters sentences based on their timestamps and temporal similarity. Each resulting clus- ter is assigned an importance score which can then be used as a weight in traditional sentence ranking techniques. Temporal im- portance weighting offers consistent improve- ments over baseline systems.