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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ...
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TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages ...
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Abstract:
Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA---a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology---the set of linguistic features each language expresses---such that we expect models performing well on this set to generalize across a large number of the world's languages. We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don't know the answer yet, and the data is collected directly in each language without the use of translation. ... : To appear in Transactions of the Association for Computational Linguistics (TACL) 2020. Please use this as the citation ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2003.05002 https://dx.doi.org/10.48550/arxiv.2003.05002
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Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index ...
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Natural Questions: A Benchmark for Question Answering Research
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 453-466 (2019) (2019)
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Inherent Disagreements in Human Textual Inferences
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 677-694 (2019) (2019)
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