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A Span-Extraction Dataset for Chinese Machine Reading Comprehension

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arxiv 1810.07366 v2 pith:C5Q2JT4N submitted 2018-10-17 cs.CL

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

classification cs.CL
keywords comprehensiondatasetreadingmachinechineseannotatedquestionsrelease
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, the existing reading comprehension datasets are mostly in English. In this paper, we introduce a Span-Extraction dataset for Chinese machine reading comprehension to add language diversities in this area. The dataset is composed by near 20,000 real questions annotated on Wikipedia paragraphs by human experts. We also annotated a challenge set which contains the questions that need comprehensive understanding and multi-sentence inference throughout the context. We present several baseline systems as well as anonymous submissions for demonstrating the difficulties in this dataset. With the release of the dataset, we hosted the Second Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2018). We hope the release of the dataset could further accelerate the Chinese machine reading comprehension research. Resources are available: https://github.com/ymcui/cmrc2018

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