Reasoning about RoboCup soccer narratives

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

Research output: Contribution to conferencePaper

Abstract

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)
Pages291-300
Number of pages10
StatePublished - Sep 29 2011
Event27th Conference on Uncertainty in Artificial Intelligence, UAI 2011 - Barcelona, Spain
Duration: Jul 14 2011Jul 17 2011

Other

Other27th Conference on Uncertainty in Artificial Intelligence, UAI 2011
CountrySpain
CityBarcelona
Period7/14/117/17/11

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Applied Mathematics

Cite this

Hajishirzi, H., Hockenmaier, J. C., Mueller, E. T., & Amir, E. (2011). Reasoning about RoboCup soccer narratives. 291-300. Paper presented at 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, Barcelona, Spain.