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Controlled Crowdsourcing for High-Quality QA-SRL Annotation.

, , , , , , , and . ACL, page 7008-7013. Association for Computational Linguistics, (2020)

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Crowdsourcing a High-Quality Gold Standard for QA-SRL., , , , , , , and . CoRR, (2019)The Winograd Schema Challenge and Reasoning about Correlation., , , , and . AAAI Spring Symposia, AAAI Press, (2015)kNN-Prompt: Nearest Neighbor Zero-Shot Inference, , , and . (2022)cite arxiv:2205.13792.GPQA: A Graduate-Level Google-Proof Q&A Benchmark., , , , , , , and . CoRR, (2023)Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting., , , and . CoRR, (2023)Supervised Open Information Extraction., , , and . NAACL-HLT, page 885-895. Association for Computational Linguistics, (2018)Debate Helps Supervise Unreliable Experts., , , , , , and . CoRR, (2023)Human-in-the-Loop Parsing., , , and . EMNLP, page 2337-2342. The Association for Computational Linguistics, (2016)AmbigQA: Answering Ambiguous Open-domain Questions., , , and . EMNLP (1), page 5783-5797. Association for Computational Linguistics, (2020)Large-Scale QA-SRL Parsing., , , and . ACL (1), page 2051-2060. Association for Computational Linguistics, (2018)