Paper: Finding Salient Dates for Building Thematic Timelines

ACL ID P12-1077
Title Finding Salient Dates for Building Thematic Timelines
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We present an approach for detecting salient (important) dates in texts in order to auto- matically build event timelines from a search query (e.g. the name of an event or person, etc.). This work was carried out on a corpus of newswire texts in English provided by the Agence France Presse (AFP). In order to ex- tract salient dates that warrant inclusion in an event timeline, we first recognize and normal- ize temporal expressions in texts and then use a machine-learning approach to extract salient dates that relate to a particular topic. We fo- cused only on extracting the dates and not the events to which they are related.