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Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

, , and . (2019)cite arxiv:1908.07898Comment: EMNLP-IJCNLP 2019.

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Synthesizing Control for a System with Black Box Environment, Based on Deep Learning., , , , and . ISoLA (2), volume 12477 of Lecture Notes in Computer Science, page 457-472. Springer, (2020)Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5244-5253. PMLR, (2018)Towards better substitution-based word sense induction., and . CoRR, (2019)DyNet: The Dynamic Neural Network Toolkit, , , , , , , , , and 15 other author(s). (Jan 15, 2017)Identification of Transliterated Foreign Words in Hebrew Script., and . CICLing, volume 4919 of Lecture Notes in Computer Science, page 466-477. Springer, (2008)Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models., , , , , , , and . CoRR, (2023)ChatGPT and Simple Linguistic Inferences: Blind Spots and Blinds., , and . CoRR, (2023)A Tabular Method for Dynamic Oracles in Transition-Based Parsing., , and . Trans. Assoc. Comput. Linguistics, (2014)Text-based NP Enrichment., , , and . Trans. Assoc. Comput. Linguistics, (2022)Training Deterministic Parsers with Non-Deterministic Oracles., and . Trans. Assoc. Comput. Linguistics, (2013)