@InProceedings{sakakini-bhat-viswanath:2017:Long,
  author    = {Sakakini, Tarek  and  Bhat, Suma  and  Viswanath, Pramod},
  title     = {MORSE: Semantic-ally Drive-n MORpheme SEgment-er},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {552--561},
  abstract  = {We present in this paper a novel framework for morpheme segmentation which uses
	the morpho-syntactic regularities preserved by word representations, in
	addition to orthographic features, to segment words into morphemes. This
	framework is the first to consider vocabulary-wide syntactico-semantic 
	information for this task. We also analyze the deficiencies  of  available
	benchmarking datasets and introduce our own dataset that was created on the
	basis of compositionality.  We validate our algorithm across datasets and
	present state-of-the-art results.},
  url       = {http://aclweb.org/anthology/P17-1051}
}