@InProceedings{ive-blain-specia:2018:C18-1,
  author    = {Ive, Julia  and  Blain, Frédéric  and  Specia, Lucia},
  title     = {deepQuest: A Framework for Neural-based Quality Estimation},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {3146--3157},
  abstract  = {Predicting Machine Translation (MT) quality can help in many practical tasks such as MT post-editing. The performance of Quality Estimation (QE) methods has drastically improved recently with the introduction of neural approaches to the problem. However, thus far neural approaches have only been designed for word and sentence-level prediction.},
  url       = {http://www.aclweb.org/anthology/C18-1266}
}