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ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation., , , and . COLING, page 5035-5045. International Committee on Computational Linguistics, (2022)Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons., , , , and . EMNLP/IJCNLP (1), page 1336-1341. Association for Computational Linguistics, (2019)Multi-Granularity Self-Attention for Neural Machine Translation., , , , and . EMNLP/IJCNLP (1), page 887-897. Association for Computational Linguistics, (2019)One Model to Learn Both: Zero Pronoun Prediction and Translation., , , and . EMNLP/IJCNLP (1), page 921-930. Association for Computational Linguistics, (2019)Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification., , , , , and . ACL (2), page 338-343. The Association for Computer Linguistics, (2012)Automatic Construction of Discourse Corpora for Dialogue Translation., , , , and . LREC, European Language Resources Association (ELRA), (2016)Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2849-2859. PMLR, (2021)Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning., , , , , and . ICLR, OpenReview.net, (2021)Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production., , , , , , , and . CoRR, (2023)Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement., , , , , and . AAAI, page 86-93. AAAI Press, (2019)