Learning script knowledge with web experiments

  • Authors:
  • Michaela Regneri;Alexander Koller;Manfred Pinkal

  • Affiliations:
  • Saarland University, Saarbrücken;Saarland University, Saarbrücken;Saarland University, Saarbrücken

  • Venue:
  • ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
  • Year:
  • 2010

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Abstract

We describe a novel approach to unsupervised learning of the events that make up a script, along with constraints on their temporal ordering. We collect natural-language descriptions of script-specific event sequences from volunteers over the Internet. Then we compute a graph representation of the script's temporal structure using a multiple sequence alignment algorithm. The evaluation of our system shows that we outperform two informed baselines.