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TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

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Natural Questions: a Benchmark for Question Answering Research., , , , , , , , , and 8 other author(s). Trans. Assoc. Comput. Linguistics, (2019)A Case for a Range of Acceptable Annotations., , and . SAD/CrowdBias@HCOMP, volume 2276 of CEUR Workshop Proceedings, page 19-31. CEUR-WS.org, (2018)QED: A Framework and Dataset for Explanations in Question Answering, , , , , , and . (2020)cite arxiv:2009.06354.TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages, , , , , , and . (2020)cite arxiv:2003.05002Comment: To appear in Transactions of the Association for Computational Linguistics (TACL) 2020. Please use this as the citation.NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). CoRR, (2021)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)New Protocols and Negative Results for Textual Entailment Data Collection., , , and . EMNLP (1), page 8203-8214. Association for Computational Linguistics, (2020)QED: A Framework and Dataset for Explanations in Question Answering., , , , , , and . Trans. Assoc. Comput. Linguistics, (2021)Agents' Room: Narrative Generation through Multi-step Collaboration., , , , , and . CoRR, (2024)