@InProceedings{jagfeld-ziering-vanderplas:2017:Short,
  author    = {Jagfeld, Glorianna  and  Ziering, Patrick  and  van der Plas, Lonneke},
  title     = {Evaluating Compound Splitters Extrinsically with Textual Entailment},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {58--63},
  abstract  = {Traditionally, compound splitters are evaluated intrinsically on gold-standard
	data or extrinsically on the task of statistical machine translation. We
	explore a novel way for the extrinsic evaluation of compound splitters, namely
	recognizing textual entailment. Compound splitting has great potential for this
	novel task that is both transparent and well-defined. Moreover, we show that it
	addresses certain aspects that are either ignored in intrinsic evaluations or
	compensated for by taskinternal mechanisms in statistical machine translation.
	We show significant improvements using different compound splitting methods on
	a German textual entailment dataset.},
  url       = {http://aclweb.org/anthology/P17-2010}
}