@InProceedings{pilehvar-collier:2017:EACLshort,
  author    = {Pilehvar, Mohammad Taher  and  Collier, Nigel},
  title     = {Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {388--393},
  abstract  = {We put forward an approach that exploits the knowledge encoded in lexical
	resources in order to induce representations for words that were not
	encountered frequently during training. Our approach provides an advantage over
	the past work in that it enables vocabulary expansion not only for
	morphological variations, but also for infrequent domain specific terms. We
	performed evaluations in different settings, showing that the technique can
	provide consistent improvements on multiple benchmarks across domains.},
  url       = {http://www.aclweb.org/anthology/E17-2062}
}