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Results of the WMT20 Metrics Shared Task.

, , , , and . WMT@EMNLP, page 688-725. Association for Computational Linguistics, (2020)

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Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges., , , and . WMT (2), page 62-90. Association for Computational Linguistics, (2019)Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation., , , and . BlackboxNLP@EMNLP, page 298-305. Association for Computational Linguistics, (2018)Twitter Universal Dependency Parsing for African-American and Mainstream American English., , and . ACL (1), page 1415-1425. Association for Computational Linguistics, (2018)Results of the WMT20 Metrics Shared Task., , , , and . WMT@EMNLP, page 688-725. Association for Computational Linguistics, (2020)A Dataset and Classifier for Recognizing Social Media English., , and . NUT@EMNLP, page 56-61. Association for Computational Linguistics, (2017)The statistical advantage of automatic NLG metrics at the system level., and . ACL/IJCNLP (1), page 6840-6854. Association for Computational Linguistics, (2021)Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings., , , and . CoRR, (2019)Searching for a Higher Power in the Human Evaluation of MT., , and . WMT, page 129-139. Association for Computational Linguistics, (2022)Comparing DSP realizations of correlator and SVM receivers for chaos-based multi-user DS-SS., and . DSP, page 464-468. IEEE, (2014)Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema., , , , , , , , , and . TAC, NIST, (2016)