Paper: A Machine Learning Approach To Extract Temporal Information From Texts In Swedish And Generate Animated 3D Scenes

ACL ID E06-1049
Title A Machine Learning Approach To Extract Temporal Information From Texts In Swedish And Generate Animated 3D Scenes
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

Carsim is a program that automatically converts narratives into 3D scenes. Carsim considers authentic texts describing road accidents, generally collected from web sitesofSwedishnewspapers ortranscribed from hand-written accounts by victims of accidents. One of the program’s key fea- turesisthatitanimatesthegenerated scene to visualize events. To create a consistent animation, Carsim extracts the participants mentioned in a text and identifies what they do. In this paper, we focus on the extraction of tem- poral relations between actions. We first describe how we detect time expressions and events. We then present a machine learning technique to order the sequence of events identified in the narratives. We finally report the results we obtained. 1 Extraction of Temporal Information and S...