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Dataset for the First Evaluation on Chinese Machine Reading Comprehension

arXiv 1709.08299 ↗First posted 25 Sep 2017cs.CLcited by 9

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Abstract (arXiv)

Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, existing reading comprehension datasets are mostly in English. To add diversity in reading comprehension datasets, in this paper we propose a new Chinese reading comprehension dataset for accelerating related research in the community. The proposed dataset contains two different types: cloze-style reading comprehension and user query reading comprehension, associated with large-scale training data as well as human-annotated validation and hidden test set. Along with this dataset, we also hosted the first Evaluation on Chinese Machine Reading Comprehension (CMRC-2017) and successfully attracted tens of participants, which suggest the potential impact of this dataset.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Sep 2017.

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Citing papers per year: 2021: 5; 2022: 2; 2023: 2.

9 papers.