@InProceedings{malykh-logacheva-khakhulin:2018:W-NUT2018,
  author    = {Malykh, Valentin  and  Logacheva, Varvara  and  Khakhulin, Taras},
  title     = {Robust Word Vectors: Context-Informed Embeddings for Noisy Texts},
  booktitle = {Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text},
  month     = {November},
  year      = {2018},
  address   = {Brussels, Belgium},
  publisher = {Association for Computational Linguistics},
  pages     = {54--63},
  abstract  = {We suggest a new language-independent architecture of robust word vectors (RoVe). It is designed to alleviate the issue of typos, which are common in almost any user-generated content, and hinder automatic text processing. Our model is morphologically motivated, which allows it to deal with unseen word forms in morphologically rich languages. },
  url       = {http://www.aclweb.org/anthology/W18-6108}
}