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A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes

Berglund, Anders; Johansson, Richard LU and Nugues, Pierre LU (2006) 11th Conference of the European Chapter of the Association for Computational Linguistics In Proceedings of EACL-2006, 11th Conference of the European Chapter of the Association for Computational Linguistics p.385-392
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
information extraction, Natural language processing, automatic illustration, temporal relations
in
Proceedings of EACL-2006, 11th Conference of the European Chapter of the Association for Computational Linguistics
pages
8 pages
publisher
Association for Computational Linguistics
conference name
11th Conference of the European Chapter of the Association for Computational Linguistics
external identifiers
  • scopus:51249091274
language
English
LU publication?
yes
id
cb661e22-825f-429d-92a7-3d452d06f8e8 (old id 631931)
alternative location
http://www.aclweb.org/anthology-new/E/E06/E06-1049.pdf
date added to LUP
2007-11-28 12:12:48
date last changed
2017-06-04 04:40:30
@inproceedings{cb661e22-825f-429d-92a7-3d452d06f8e8,
  abstract     = {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.<br/><br>
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<br/><br>
relations between actions. We first describe how we detect time expressions and events. We then present a machine<br/><br>
learning technique to order the sequence of events identified in the narratives. We finally report the results we obtained.},
  author       = {Berglund, Anders and Johansson, Richard and Nugues, Pierre},
  booktitle    = {Proceedings of EACL-2006, 11th Conference of the European Chapter of the Association for Computational Linguistics},
  keyword      = {information extraction,Natural language processing,automatic illustration,temporal relations},
  language     = {eng},
  pages        = {385--392},
  publisher    = {Association for Computational Linguistics},
  title        = {A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes},
  year         = {2006},
}