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Controllable Text Simplification with Explicit Paraphrasing ...
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The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification ...
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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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IAPUCP at SemEval-2021 task 1: Stacking fine-tuned transformers is almost all you need for lexical complexity prediction
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The (un)suitability of automatic evaluation metrics for text simplification
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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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Knowledge distillation for quality estimation
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In: 5091 ; 5099 (2021)
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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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Controllable Text Simplification with Explicit Paraphrasing ...
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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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Data-Driven Sentence Simplification: Survey and Benchmark
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In: Computational Linguistics, Vol 46, Iss 1, Pp 135-187 (2020) (2020)
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Automatic Sentence Simplification with Multiple Rewriting Transformations
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Distributed knowledge based clinical auto-coding system
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Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019
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Towards semi-supervised Brazilian Portuguese semantic role labeling: Building a benchmark
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