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arXiv · 1906.01265

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

Chujie Zheng·Minlie Huang·Aixin Sun
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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.

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Chujie Zheng, Minlie Huang, Aixin Sun. 2019-06-04. ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. https://arxiv.org/abs/1906.01265

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