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The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification ...
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Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
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deepQuest-py: large and distilled models for quality estimation
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The (un)suitability of automatic evaluation metrics for text simplification
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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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Robust fragment-based framework for cross-lingual sentence retrieval
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 ; 935 ; 944 (2021)
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Knowledge distillation for quality estimation
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In: 5091 ; 5099 (2021)
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Come hither or go away? Recognising pre-electoral coalition signals in the news
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ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
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In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889823 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States (2020)
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MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset ...
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MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish ...
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ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations ...
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ASSET: A dataset for tuning and evaluation of sentence simplification models with multiple rewriting transformations
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Unsupervised quality estimation for neural machine translation
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In: 8 ; 539 ; 555 (2020)
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