SlowGuess/NAACL_2021_OCR huggingface dataset:
Felix Stahlberg, Danielle Saunders, Adrià de Gispert, and Bill Byrne. 2019. CUED@WMT19:EWC&LMs. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 364-373, Florence, Italy.
Amane Sugiyama and Naoki Yoshinaga. 2019. Data augmentation using back-translation for context-aware neural machine translation. In Proceedings of the Fourth Workshop on Discourse in Machine Translation (DiscoMT 2019), pages 35-44, Hong Kong, China.
Amane Sugiyama and Naoki Yoshinaga. 2020. Context-aware decoder for neural machine translation using a target-side document-level language model. Computing Research Repository, arXiv:2010.12827.
Jörg Tiedemann and Yves Scherrer. 2017. Neural machine translation with extended context. In Proceedings of the Third Workshop on Discourse in Machine Translation, pages 82-92, Copenhagen, Denmark.
Zhaopeng Tu, Yang Liu, Shuming Shi, and Tong Zhang. 2018. Learning to remember translation history with a continuous cache. Transactions of the Association for Computational Linguistics, 6:407-420.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems, volume 30, page 6000-6010. Curran Associates, Inc.
Elena Voita, Rico Sennrich, and Ivan Titov. 2019a. Context-aware monolingual repair for neural machine translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 877-886, Hong Kong, China.
Elena Voita, Rico Senrich, and Ivan Titov. 2019b. When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 1198-1212, Florence, Italy.
Elena Voita, Pavel Serdyukov, Rico Sennrich, and Ivan Titov. 2018. Context-aware neural machine translation learns anaphora resolution. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1264-1274, Melbourne, Australia.
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. 2017. Exploiting cross-sentence context for neural machine translation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2826-2831, Copenhagen, Denmark.
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, and Chris Dyer. 2020. Better document-level machine translation with Bayes' rule. Transactions of the Association for Computational Linguistics, 8:346-360.
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, and Yang Liu. 2018. Improving the transformer translation model with document-level context. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 533-542, Brussels, Belgium.
Pei Zhang, Boxing Chen, Niyu Ge, and Kai Fan. 2020. Long-short term masking transformer: A simple but effective baseline for document-level neural machine translation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1081-1087, Online.