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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation.

, , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4711-4717. Association for Computational Linguistics, (2021)

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Exploiting graph kernels for high performance biomedical relation extraction., , , and . J. Biomed. Semant., 9 (1): 7:1-7:11 (2018)DyNet: The Dynamic Neural Network Toolkit, , , , , , , , , and 15 other author(s). (Jan 15, 2017)Learning Coupled Policies for Simultaneous Machine Translation., , and . CoRR, (2020)Improving Neural Translation Models with Linguistic Factors., , and . ALTA, page 7-14. ACL, (2016)ASM Kernel: Graph Kernel using Approximate Subgraph Matching for Relation Extraction., , , and . ALTA, page 65-73. ACL, (2016)Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing., , , and . EACL, page 873-885. Association for Computational Linguistics, (2023)Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP., , and . EACL, page 297-312. Association for Computational Linguistics, (2023)Diverse Adversaries for Mitigating Bias in Training., , and . EACL, page 2760-2765. Association for Computational Linguistics, (2021)Robust Training under Linguistic Adversity., , and . EACL (2), page 21-27. Association for Computational Linguistics, (2017)Contextualization of Morphological Inflection., , , , and . NAACL-HLT (1), page 2018-2024. Association for Computational Linguistics, (2019)