DRCD: a Chinese Machine Reading Comprehension Dataset

4 Jun 2018  ·  Chih Chieh Shao, Trois Liu, Yuting Lai, Yiying Tseng, Sam Tsai ·

In this paper, we introduce DRCD (Delta Reading Comprehension Dataset), an open domain traditional Chinese machine reading comprehension (MRC) dataset. This dataset aimed to be a standard Chinese machine reading comprehension dataset, which can be a source dataset in transfer learning. The dataset contains 10,014 paragraphs from 2,108 Wikipedia articles and 30,000+ questions generated by annotators. We build a baseline model that achieves an F1 score of 89.59%. F1 score of Human performance is 93.30%.

PDF Abstract

Datasets


Introduced in the Paper:

DRCD

Used in the Paper:

SQuAD MS MARCO

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here