@InProceedings{benikova-zesch:2017:RANLP,
  author    = {Benikova, Darina  and  Zesch, Torsten},
  title     = {Same same, but different: Compositionality of paraphrase granularity levels},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {90--96},
  abstract  = {Paraphrases exist on different granularity levels, the most frequently used one
	being the sentential level. However, we argue that working on the sentential
	level is not optimal for both machines and humans, and that it would be easier
	and more efficient to work on sub-sentential levels. To prove this, we quantify
	and analyze the difference between paraphrases on both sentence and
	sub-sentence level in order to show the significance of the problem. First
	results on a preliminary dataset seem to confirm our hypotheses.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_014}
}