Reasoning about RoboCup soccer narratives

Hannaneh Hajishirzi, Julia Constanze Hockenmaier, Erik T. Mueller, Eyal Amir

Research output: Contribution to conferencePaperpeer-review


This paper presents an approach for learning to translate simple narratives, i.e., texts (sequences of sentences) describing dynamic systems, into coherent sequences of events without the need for labeled training data. Our approach incorporates domain knowledge in the form of preconditions and effects of events, and we show that it outperforms state-of-the-art supervised learning systems on the task of reconstructing RoboCup soccer games from their commentaries.

Original languageEnglish (US)
Number of pages10
StatePublished - Sep 29 2011
Event27th Conference on Uncertainty in Artificial Intelligence, UAI 2011 - Barcelona, Spain
Duration: Jul 14 2011Jul 17 2011


Other27th Conference on Uncertainty in Artificial Intelligence, UAI 2011

ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics


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