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| A Domain Specific Chinese Reading Comprehension Data Set |
| SUN Yuefan, YANG Liang, LIN Yuan, XU Kan, LIN Hongfei |
| Information Retrieval Laboratory, Dalian University of Technology, Liaoning, Dalian 116000, China |
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Abstract This paper proposes a Chinese reading comprehension dataset-Restaurant(Res) for a specific field(catering industry). The data are collected from the Dianping application, with user reviews in the catering industry. The annotators provide questions and annotate the answers according to the date. There are currently two versions of the Res dataset: Res_v1 contains only questions with answers in user comments, and Res_v2 includes additional questions without answers in the comments. We apply the mainstream BiDAF, QANet and Bert models in the dataset, achieving as high as 73.78% accuracy. lagging far behind human performance of 91.03%.
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Received: 19 October 2021
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2022, Vol. 36 
