Machine Reading Comprehension (MRC) is a task that requires machine to understand natural language and answer questions by reading a document. It is the core of automatic response technology such as chatbots and automatized customer supporting systems. We present Korean Question Answering Dataset(KorQuAD), a large-scale Korean dataset for extractive machine reading comprehension task. It consists of 70,000+ human generated question-answer pairs on Korean Wikipedia articles. We release KorQuAD1.0 and launch a challenge at https://KorQuAD.github.io to encourage the development of multilingual natural language processing research.
@article{arxiv.1909.07005,
title = {KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension},
author = {Seungyoung Lim and Myungji Kim and Jooyoul Lee},
journal= {arXiv preprint arXiv:1909.07005},
year = {2019}
}