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Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking.

, , , , , , and . *SEM@NAACL-HLT, page 101-122. Association for Computational Linguistics, (2022)

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Lexical Semantic Recognition., , , and . CoRR, (2020)Evaluating NLP Models via Contrast Sets., , , , , , , , , and 16 other author(s). CoRR, (2020)Crowdsourcing Multiple Choice Science Questions., , and . NUT@EMNLP, page 94-106. Association for Computational Linguistics, (2017)Evaluating Models' Local Decision Boundaries via Contrast Sets., , , , , , , , , and 16 other author(s). EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1307-1323. Association for Computational Linguistics, (2020)Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets., , and . EMNLP (Findings), page 4919-4928. Association for Computational Linguistics, (2021)Do Question Answering Modeling Improvements Hold Across Benchmarks?, , , and . ACL (1), page 13186-13218. Association for Computational Linguistics, (2023)Linguistic Knowledge and Transferability of Contextual Representations., , , , and . NAACL-HLT (1), page 1073-1094. Association for Computational Linguistics, (2019)LSTMs Exploit Linguistic Attributes of Data., , , , and . Rep4NLP@ACL, page 180-186. Association for Computational Linguistics, (2018)Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking., , , , , , and . CoRR, (2021)Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words., , , and . CoRR, (2018)