Reasoning about RoboCup soccer narratives

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

Reasoning about RoboCup soccer narratives

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

Computer Science

Research output: Contribution to conference › Paper › peer-review

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 language	English (US)
Pages	291-300
Number of pages	10
State	Published - Sep 29 2011
Event	27th Conference on Uncertainty in Artificial Intelligence, UAI 2011 - Barcelona, Spain Duration: Jul 14 2011 → Jul 17 2011

Other

Other	27th Conference on Uncertainty in Artificial Intelligence, UAI 2011
Country/Territory	Spain
City	Barcelona
Period	7/14/11 → 7/17/11

ASJC Scopus subject areas

Artificial Intelligence
Applied Mathematics

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AU - Hockenmaier, Julia Constanze

AU - Mueller, Erik T.

AU - Amir, Eyal

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AB - 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.

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Reasoning about RoboCup soccer narratives

Abstract

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ASJC Scopus subject areas

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