Uncertainty in Artificial Intelligence
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Semantic Understanding of Professional Soccer Commentaries
Hannaneh Hajishirzi, Mohammad Rastegari, Ali Farhadi, Jessica Hodgins
Abstract:
This paper presents a novel approach to the problem of semantic parsing via learning the correspondences between complex sentences and rich sets of events. Our main intuition is that correct correspondences tend to occur more frequently. Our model benefits from a discriminative notion of similarity to learn the correspondence between sentence and an event and a ranking machinery that scores the popularity of each correspondence. Our method can discover a group of events (called macro-events) that best describes a sentence. We evaluate our method on our novel dataset of professional soccer commentaries. The empirical results show that our method significantly outperforms the state-of-theart.
Keywords:
Pages: 326-335
PS Link:
PDF Link: /papers/12/p326-hajishirzi.pdf
BibTex:
@INPROCEEDINGS{Hajishirzi12,
AUTHOR = "Hannaneh Hajishirzi and Mohammad Rastegari and Ali Farhadi and Jessica Hodgins",
TITLE = "Semantic Understanding of Professional Soccer Commentaries",
BOOKTITLE = "Proceedings of the Twenty-Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-12)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2012",
PAGES = "326--335"
}


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