@InProceedings{gupta-EtAl:2017:EMNLP2017,
  author    = {Gupta, Arihant  and  Akhtar, Syed Sarfaraz  and  Vajpayee, Avijit  and  Srivastava, Arjit  and  Jhanwar, Madan Gopal  and  Shrivastava, Manish},
  title     = {Exploiting Morphological Regularities in Distributional Word Representations},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {292--297},
  abstract  = {We present an unsupervised, language agnostic approach for exploiting
	morphological regularities present in high dimensional vector spaces. We
	propose a novel method for generating embeddings of words from their
	morphological variants using morphological transformation operators. We
	evaluate this approach on MSR word analogy test set with an accuracy of 85%
	which is 12% higher than the previous best known system.},
  url       = {https://www.aclweb.org/anthology/D17-1028}
}