Leveraging structural relations for fluent compressions at multiple compression rates

  • Authors:
  • Sourish Chaudhuri;Naman K. Gupta;Noah A. Smith;Carolyn P. Rosé

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
  • Year:
  • 2009

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Abstract

Prior approaches to sentence compression have taken low level syntactic constraints into account in order to maintain grammaticality. We propose and successfully evaluate a more comprehensive, generalizable feature set that takes syntactic and structural relationships into account in order to sustain variable compression rates while making compressed sentences more coherent, grammatical and readable.