Paper: Event-Based Time Label Propagation for Automatic Dating of News Articles

ACL ID D13-1001
Title Event-Based Time Label Propagation for Automatic Dating of News Articles
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Since many applications such as timeline sum- maries and temporal IR involving temporal analysis rely on document timestamps, the task of automatic dating of documents has been increasingly important. Instead of using feature-based methods as conventional mod- els, our method attempts to date documents in a year level by exploiting relative tempo- ral relations between documents and events, which are very effective for dating documents. Based on this intuition, we proposed an event- based time label propagation model called confidence boosting in which time label in- formation can be propagated between docu- ments and events on a bipartite graph. The ex- periments show that our event-based propaga- tion model can predict document timestamps in high accuracy and the model combined with a Ma...