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• W2949884065 abstract "Cloze-style reading comprehension in Chinese is still limited due to the lack of various corpora. In this paper we propose a large-scale Chinese cloze test dataset ChID, which studies the comprehension of idiom, a unique language phenomenon in Chinese. In this corpus, the idioms in a passage are replaced by blank symbols and the correct answer needs to be chosen from well-designed candidate idioms. We carefully study how the design of candidate idioms and the representation of idioms affect the performance of state-of-the-art models. Results show that the machine accuracy is substantially worse than that of human, indicating a large space for further research." @default.
• W2949884065 created "2019-06-27" @default.
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• W2949884065 date "2019-01-01" @default.
• W2949884065 modified "2023-09-23" @default.
• W2949884065 title "ChID: A Large-scale Chinese IDiom Dataset for Cloze Test" @default.
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• W2949884065 doi "https://doi.org/10.18653/v1/p19-1075" @default.
• W2949884065 hasPublicationYear "2019" @default.
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