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Dataset for the First Evaluation on Chinese Machine Reading Comprehension (1709.08299v2)

Published 25 Sep 2017 in cs.CL

Abstract: 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.

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Authors (6)
  1. Yiming Cui (80 papers)
  2. Ting Liu (329 papers)
  3. Zhipeng Chen (46 papers)
  4. Wentao Ma (35 papers)
  5. Shijin Wang (69 papers)
  6. Guoping Hu (39 papers)
Citations (23)