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The Sensitivity of Language Models and Humans to Winograd Schema Perturbations.

, , , , , and . ACL, page 7590-7604. Association for Computational Linguistics, (2020)

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Word Order and World Knowledge., , , and . CoRR, (2024)A Universal Dependencies Treebank for Marathi.. TLT, page 190-200. (2018)Are Multilingual Neural Machine Translation Models Better at Capturing Linguistic Features?, , , , and . Prague Bull. Math. Linguistics, (2020)A prototype dependency treebank for Breton., and . CORIA-TALN-RJC (TALN 2), page 197-204. ATALA, (2018)From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers., , , and . EMNLP (1), page 4483-4499. Association for Computational Linguistics, (2020)The Impact of Positional Encodings on Multilingual Compression., and . EMNLP (1), page 763-777. Association for Computational Linguistics, (2021)Finite-State Back-Transliteration for Marathi.. Prague Bull. Math. Linguistics, (2017)MGAD: Multilingual Generation of Analogy Datasets., , and . LREC, European Language Resources Association (ELRA), (2018)Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination., , , and . SemEval@NAACL-HLT, page 1008-1012. Association for Computational Linguistics, (2018)The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English., , , , , , , and . WMT (shared task), page 546-560. Association for Computational Linguistics, (2018)