TransQuest at WMT2020: Sentence-Level Direct Assessment

Huggingface’s transformers: State-of-the-art natural language processing

Original

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910

Earlier work this paper cites.

Improving bert fine-tuning via self-ensemble and self-distillation

Original

Yige Xu, Xipeng Qiu, Ligao Zhou, and Xuanjing Huang. 2020 · 2002

Earlier work this paper cites.

QuEst - a translation quality estimation framework

Lucia Specia, Kashif Shah, Jose G.C. de Souza, and Trevor Cohn. 2013 · 2013

Earlier work this paper cites.

Multi-level translation quality prediction with QuEst++

Lucia Specia, Gustavo Paetzold, and Carolina Scarton. 2015 · 2015

Earlier work this paper cites.

Predictor-estimator using multilevel task learning with stack propagation for neural quality estimation

Hyun Kim, Jong-Hyeok Lee, and Seung-Hoon Na. 2017 · 2017

Earlier work this paper cites.

deepQuest: A framework for neural-based quality estimation

Julia Ive, Frédéric Blain, and Lucia Specia. 2018 · 2018

Earlier work this paper cites.

Findings of the WMT 2018 shared task on quality estimation

Lucia Specia, Frédéric Blain, Varvara Logacheva, Ramón Astudillo, and André F. T. Martins. 2018 · 2018

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Findings of the WMT 2019 shared tasks on quality estimation

Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, Mark Fishel, and Christian Federmann. 2019 · 2019

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OpenKiwi: An open source framework for quality estimation

Fabio Kepler, Jonay Trénous, Marcos Treviso, Miguel Vera, and André F. T. Martins. 2019 · 2019

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Semantic textual similarity with Siamese neural networks

Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2019 · 2019

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Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Nils Reimers and Iryna Gurevych. 2019 · 2019

Cited alongside, same era.

A survey of cross-lingual word embedding models

Sebastian Ruder, Ivan Vulić, and Anders Søgaard. 2019 · 2019

Later among the works it cites.

Unsupervised cross-lingual representation learning at scale

Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020

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Unsupervised quality estimation for neural machine translation

M Fomicheva, L Specia, S Sun, L Yankovskaya, F Blain, F Guzmán, M Fishel, N Aletras, and V Chaudhary. 2020 · 2020

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Transquest: Translation quality estimation with cross-lingual transformers

Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov. 2020 · 2020

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Findings of the wmt 2020 shared task on quality estimation

Lucia Specia, Frédéric Blain, Marina Fomicheva, Erick Fonseca, Vishrav Chaudhary, Francisco Guzmán, and André FT Martins. 2020 · 2020

Closest in time.