Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task

Citing medicine: the nlm style guide for authors, editors

Karen Patrias and Dan Wendling. 2007 · 2011

Earlier work this paper cites.

Scheduled sampling for sequence prediction with recurrent neural networks

Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015

Earlier work this paper cites.

Stanford Neural Machine Translation systems for spoken language domains

Minh-Thang Luong and Christopher D Manning. 2015 · 2015

Earlier work this paper cites.

The AMU-UEDIN submission to the WMT16 news translation task: Attention-based NMT models as feature functions in phrase-based SMT

Marcin Junczys-Dowmunt, Tomasz Dwojak, and Rico Sennrich. 2016 · 2016

Earlier work this paper cites.

Lexicons and minimum risk training for neural machine translation: NAIST-CMU at WAT2016

Graham Neubig. 2016 · 2016

Earlier work this paper cites.

The ScieLO Corpus: a Parallel Corpus of Scientific Publications for Biomedicine

Mariana L Neves, Antonio Jimeno-Yepes, and Aurélie Névéol. 2016 · 2016

Earlier work this paper cites.

Sequence level training with recurrent neural networks

Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2016 · 2016

Earlier work this paper cites.

Neural Machine Translation of Rare Words with Subword Units

Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016

Earlier work this paper cites.

Minimum Risk Training for Neural Machine Translation

Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. 2016 · 2016

Earlier work this paper cites.

An empirical comparison of domain adaptation methods for neural machine translation

Chenhui Chu, Raj Dabre, and Sadao Kurohashi. 2017 · 2017

Earlier work this paper cites.

Khresmoi summary translation test data 2.0

Ondřej Dušek, Jan Hajič, Jaroslava Hlaváčová, Jindřich Libovický, Pavel Pecina, Aleš Tamchyna, and Zdeňka Urešová. 2017 · 2017

Cited alongside, same era.

Multi-domain neural machine translation through unsupervised adaptation

M. Amin Farajian, Marco Turchi, Matteo Negri, and Marcello Federico. 2017 · 2017

Cited alongside, same era.

SGNMT–A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies

Felix Stahlberg, Eva Hasler, Danielle Saunders, and Bill Byrne. 2017 · 2017

Cited alongside, same era.

Findings of the wmt 2017 biomedical translation shared task

Original

Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, Karin Verspoor, Ondrej Bojar, Arthur Boyer, Cristian Grozea, Barry Haddow, Madeleine Kittner, Yvonne Lichtblau, et al. 2017 · 2017

Cited alongside, same era.

Classical structured prediction losses for sequence to sequence learning

Sergey Edunov, Myle Ott, Michael Auli, David Grangier, et al. 2018 · 2018

Cited alongside, same era.

A call for clarity in reporting BLEU scores

Original

Matt Post. 2018 · 2018

Later among the works it cites.

Multi-representation ensembles and delayed sgd updates improve syntax-based nmt

Danielle Saunders, Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2018 · 2018

Later among the works it cites.

Tensor2Tensor for Neural Machine Translation

Original

Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, and Jakob Uszkoreit. 2018 · 2018

Later among the works it cites.

Findings of the WMT 2019 biomedical translation shared task: Evaluation for MEDLINE abstracts and biomedical terminologies

Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, Antonio Jimeno Yepes, Madeleine Kittner, Martin Krallinger, Nancy Mah, Aurelie Neveol, Mariana Neves, Felipe Soares, Amy Siu, Karin Verspoor, and Maika Vicente Navarro. 2019 · 2019

Later among the works it cites.