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Towards Explainable Evaluation Metrics for Natural Language Generation ...
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Pushing the right buttons: adversarial evaluation of quality estimation
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In: Proceedings of the Sixth Conference on Machine Translation ; 625 ; 638 (2022)
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Continual Quality Estimation with Online Bayesian Meta-Learning ...
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Findings of the WMT 2021 Shared Task on Quality Estimation ...
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Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation ...
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deepQuest-py: large and distilled models for quality estimation
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Abstract:
We introduce deepQuest-py, a framework for training and evaluation of large and light-weight models for Quality Estimation (QE). deepQuest-py provides access to (1) state-of-the-art models based on pre-trained Transformers for sentence-level and word-level QE; (2) light-weight and efficient sentence-level models implemented via knowledge distillation; and (3) a web interface for testing models and visualising their predictions. deepQuest-py is available at https://github.com/sheffieldnlp/deepQuest-py under a CC BY-NC-SA licence.
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URL: https://doi.org/10.18653/v1/2021.emnlp-demo.42 https://orca.cardiff.ac.uk/147257/1/2021.emnlp-demo.42.pdf https://orca.cardiff.ac.uk/147257/
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Findings of the WMT 2021 shared task on quality estimation
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In: 689 ; 730 (2021)
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deepQuest-py: large and distilled models for quality estimation
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations ; 382 ; 389 (2021)
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Backtranslation feedback improves user confidence in MT, not quality
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Knowledge distillation for quality estimation
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In: 5091 ; 5099 (2021)
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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Unsupervised quality estimation for neural machine translation
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In: 8 ; 539 ; 555 (2020)
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An exploratory study on multilingual quality estimation
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In: 366 ; 377 (2020)
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BERGAMOT-LATTE submissions for the WMT20 quality estimation shared task
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In: 1010 ; 1017 (2020)
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Findings of the WMT 2020 shared task on quality estimation
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In: 743 ; 764 (2020)
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MLQE-PE: A multilingual quality estimation and post-editing dataset
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