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For sequence-to-sequence tasks it is challenging to combine individual system outputs.
An empirical study of incorporating pseudo data into grammatical error correction
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Minimum Bayes-risk decoding for statistical machine translation
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Consensus network decoding for statistical machine translation system combination
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Data weighted training strategies for grammatical error correction
Jared Lichtarge, Chris Alberti, and Shankar Kumar. 2020 · 2008
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Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, and Ming Zhou. 2020 · 2010
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A new dataset and method for automatically grading ESOL texts
Helen Yannakoudakis, Ted Briscoe, and Ben Medlock. 2011 · 2011
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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The CoNLL-2014 shared task on grammatical error correction
Hwee Tou Ng, Siew Mei Wu, Ted Briscoe, Christian Hadiwinoto, Raymond Hendy Susanto, and Christopher Bryant. 2014 · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
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Improving neural machine translation models with monolingual data
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Open cambridge learner english corpus
OpenCLC. 2019 · 2019
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Universal adversarial attacks on spoken language assessment systems
Vyas Raina, Mark J.F. Gales, and Kate M. Knill. 2020 · 2020
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Seq2Edits: Sequence transduction using span-level edit operations
Felix Stahlberg and Shankar Kumar. 2020 · 2020
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Ensemble distillation approaches for grammatical error correction
Yassir Fathullah, Mark J.F. Gales, and Andrey Malinin. 2021 · 2021
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Ensemble deep learning: A review
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Uncertainty estimation in autoregressive structured prediction
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Automatic annotation and evaluation of error types for grammatical error correction
Christopher Bryant, Mariano Felice, and Ted Briscoe. 2017 · 2017
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Ensemble distillation for neural machine translation
Markus Freitag, Yaser Al-Onaizan, and Baskaran Sankaran. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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The relative performance of ensemble methods with deep convolutional neural networks for image classification
Cheng Ju, Aurélien Bibaut, and Mark van der Laan. 2018 · 2018
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The BEA-2019 shared task on grammatical error correction
Christopher Bryant, Mariano Felice, Øistein E. Andersen, and Ted Briscoe. 2019 · 2019
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Understanding the properties of minimum Bayes risk decoding in neural machine translation
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Markus Freitag, David Grangier, Qijun Tan, and Bowen Liang. 2022 · 2022
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Ensembling and knowledge distilling of large sequence taggers for grammatical error correction
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Rmbr: A regularized minimum bayes risk reranking framework for machine translation
Yidan Zhang, Yu Wan, Dayiheng Liu, Baosong Yang, and Zhenan He. 2022 · 2022
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Summary of chatgpt/gpt-4 research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dingang Shen, Tianming Liu, and Bao Ge. 2023 · 2023
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Cued at probsum 2023: Hierarchical ensemble of summarization models
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Chatgpt or grammarly? evaluating chatgpt on grammatical error correction benchmark
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