mlsanityData to 7 Oct 2026

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

arXiv 1906.01265 ↗First posted 4 Jun 2019cs.CLcited by 65

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Abstract (arXiv)

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.

Key facts. Cited by 65 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.

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Citing papers per year: 2021: 14; 2022: 4; 2023: 9; 2024: 17; 2025: 11; 2026: 10.

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