Ordering Among Premodifiers

James Shaw,V. Hatzivassiloglou

Published 1999 in Annual Meeting of the Association for Computational Linguistics

ABSTRACT

We present a corpus-based study of the sequential ordering among premodifiers in noun phrases. This information is important for the fluency of generated text in practical applications. We propose and evaluate three approaches to identify sequential order among premodifiers: direct evidence, transitive closure, and clustering. Our implemented system can make over 94% of such ordering decisions correctly, as evaluated on a large, previously unseen test corpus.

PUBLICATION RECORD

  • Publication year

    1999

  • Venue

    Annual Meeting of the Association for Computational Linguistics

  • Publication date

    1999-06-20

  • Fields of study

    Linguistics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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