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README.md

DeepQuest -- Framework for neural-based Quality Estimation

Developed at the University of Sheffield, DeepQuest provides state-of-the-art models for multi-level Quality Estimation.

If you use this, please cite:

DeepQuest: a framework for neural-based Quality Estimation. Julia Ive, Frédéric Blain, Lucia Specia (2018).

@article{ive2018deepquest,
  title={DeepQuest: a framework for neural-based Quality Estimation},
  author={Julia Ive and Frédéric Blain and Lucia Specia},
  journal={In the Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Sante Fe, New Mexico, USA},
  year={2018}
}

Documentation:

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More information on https://sheffieldnlp.github.io/deepQuest

Acknowledgements

The development of DeepQuest received funding from the European Association for Machine Translation and the Amazon Academic Research Awards program.

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