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Semantic Understanding of Professional Soccer Commentaries

Hannaneh Hajishirzi,Mohammad Rastegari,Ali Farhadi,J. Hodgins

Published 2012 in Conference on Uncertainty in Artificial Intelligence

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-the-art.

PUBLICATION RECORD

  • Publication year

    2012

  • Venue

    Conference on Uncertainty in Artificial Intelligence

  • Publication date

    2012-08-14

  • Fields of study

    Computer Science

  • Identifiers
    arXiv 1210.4854
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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