@InProceedings{pandey-pudi-shrivastava:2017:I17-2,
  author    = {Pandey, Prakhar  and  Pudi, Vikram  and  Shrivastava, Manish},
  title     = {Injecting Word Embeddings with Another Language's Resource : An Application of Bilingual Embeddings},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {116--121},
  abstract  = {Word embeddings learned from text cor-
	pus can be improved by injecting knowl-
	edge from external resources, while at
	the same time also specializing them for
	similarity or relatedness. These knowl-
	edge resources (like WordNet, Paraphrase
	Database) may not exist for all languages.
	In this work we introduce a method to in-
	ject word embeddings of a language with
	knowledge resource of another language
	by leveraging bilingual embeddings. First
	we improve word embeddings of Ger-
	man, Italian, French and Spanish using re-
	sources of English and test them on variety
	of word similarity tasks. Then we demon-
	strate the utility of our method by creating
	improved embeddings for Urdu and Tel-
	ugu languages using Hindi WordNet, beat-
	ing the previously established baseline for
	Urdu.},
  url       = {http://www.aclweb.org/anthology/I17-2020}
}