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Ordering Among Premodifiers

Hatzivassiloglou, Vasileios; Shaw, James

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.


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More About This Work

Academic Units
Computer Science
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics
Published Here
May 3, 2013
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