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The University of Helsinki Submissions to the WMT19 News Translation Task.

, , , , , , , and . WMT (2), page 412-423. Association for Computational Linguistics, (2019)

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Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference., and . CoRR, (2018)Testing the Generalization Power of Neural Network Models across NLI Benchmarks., and . BlackboxNLP@ACL, page 85-94. Association for Computational Linguistics, (2019)Sentence embeddings in NLI with iterative refinement encoders., , and . Nat. Lang. Eng., 25 (4): 467-482 (2019)How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets., , , and . *SEM@NAACL-HLT, page 226-233. Association for Computational Linguistics, (2022)Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging., , , , and . NoDaLiDa, page 358-365. University of Tartu Library, (2023)The University of Helsinki Submissions to the WMT19 News Translation Task., , , , , , , and . WMT (2), page 412-423. Association for Computational Linguistics, (2019)Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations., , , , , and . NODALIDA, page 281-290. Linköping University Electronic Press, (2019)NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance., , , and . NoDaLiDa, page 276-287. Linköping University Electronic Press, Sweden, (2021)Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture., , and . CoRR, (2018)ELOQUENT CLEF Shared Tasks for Evaluation of Generative Language Model Quality., , , , , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 459-465. Springer, (2024)