A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes
Author
Summary, in English
Carsim is a program that automatically converts narratives into 3D scenes. Carsim considers authentic texts describing road accidents, generally collected from web sites of Swedish newspapers or transcribed from hand-written accounts by victims of accidents. One of the program’s key features is that it animates the generated 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 temporal
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.
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 temporal
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.
Publishing year
2006
Language
English
Pages
385-392
Publication/Series
Proceedings of EACL-2006, 11th Conference of the European Chapter of the Association for Computational Linguistics
Links
Document type
Conference paper
Publisher
Association for Computational Linguistics
Topic
- Computer Science
Keywords
- information extraction
- Natural language processing
- automatic illustration
- temporal relations
Conference name
11th Conference of the European Chapter of the Association for Computational Linguistics
Conference date
2006-04-15 - 2006-04-16
Conference place
Trento, Italy
Status
Published