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

Författare:
Publiceringsår: 2006
Språk: Engelska
Sidor: 385-392
Publikation/Tidskrift/Serie: Proceedings of EACL-2006, 11th Conference of the European Chapter of the Association for Computational Linguistics
Dokumenttyp: Konferensbidrag
Förlag: Association for Computational Linguistics

Sammanfattning

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.

Disputation

Nyckelord

  • Technology and Engineering
  • information extraction
  • Natural language processing
  • automatic illustration
  • temporal relations

Övrigt

11th Conference of the European Chapter of the Association for Computational Linguistics
2006-04-15/2006-04-16
Trento, Italy
Published
Yes

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