Paper: Temporal Text Ranking and Automatic Dating of Texts

ACL ID E14-4004
Title Temporal Text Ranking and Automatic Dating of Texts
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper presents a novel approach to the task of temporal text classification combining text ranking and probability for the automatic dating of historical texts. The method was applied to three histor- ical corpora: an English, a Portuguese and a Romanian corpus. It obtained per- formance ranging from 83% to 93% ac- curacy, using a fully automated approach with very basic features.