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Question Answering (QA) is a task in which a machine understands a given document and a question to find an answer.
MCTest: A challenge dataset for the open-domain machine comprehension of text
M. Richardson, C. J. Burges, and E. Renshaw · 2013
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset
T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng · 2016
Earlier work this paper cites.
SQuAD: 100,000+ questions for machine comprehension of text
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang · 2016
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QuAC: Question answering in context
E. Choi, H. He, M. Iyyer, M. Yatskar, W.-t. Yih, Y. Choi, P. Liang, and L. Zettlemoyer · 2018
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Stochastic answer networks for machine reading comprehension
X. Liu, Y. Shen, K. Duh, and J. Gao · 2018
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Know What You Don’t Know: Unanswerable Questions for SQuAD
P. Rajpurkar, R. Jia, and P. Liang · 2018
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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Z. Yang, P. Qi, S. Zhang, Y. Bengio, W. Cohen, R. Salakhutdinov, and C. D. Manning · 2018
Earlier work this paper cites.
KorQuAD: 기계독해를 위한 한국어 질의응답 데이터셋
임승영, 김명지, and 이주열 · 2018
Earlier work this paper cites.
Pretrained Japanese BERT models
Inui Laboratory, Tohoku University · 2019
Earlier work this paper cites.
Natural Questions: A Benchmark for Question Answering Research
T. Kwiatkowski, J. Palomaki, O. Redfield, M. Collins, A. Parikh, C. Alberti, D. Epstein, I. Polosukhin, J. Devlin, K. Lee, K. Toutanova, L. Jones, M. Kelcey, M.-W. Chang, A. M. Dai, J. Uszkoreit, Q. Le, and S. Petrov · 2019
Cited alongside, same era.
CoQA: A Conversational Question Answering Challenge
S. Reddy, D. Chen, and C. D. Manning · 2019
Cited alongside, same era.
Huggingface’s transformers: State-of-the-art natural language processing
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, and J. Brew · 2019
Cited alongside, same era.
min \CJKtilde
高橋憲生, 柴田知秀, 河原大輔, and min \CJKtilde · 2019
Cited alongside, same era.
On the cross-lingual transferability of monolingual representations
M. Artetxe, S. Ruder, and D. Yogatama · 2020
Cited alongside, same era.
KorQuAD 2.0: 웹문서 기계독해를 위한 한국어 질의응답 데이터셋
김영민, 임승영, 이현정, 박소윤, and 김명지 · 2020
Later among the works it cites.
GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval
T. Möller, J. Risch, and M. Pietsch · 2021
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Klue: Korean language understanding evaluation
S. Park, J. Moon, S. Kim, W. I. Cho, J. Han, J. Park, C. Song, J. Kim, Y. Song, T. Oh, et al · 2021
Later among the works it cites.
min \CJKtilde
abc/EQIDEN · 2022
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MeCab: Yet Another Part-of-Speech and Morphological Analyzer
min \CJKtilde · 2022
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NLP-progress
S. Ruder · 2022
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A. Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzmán, E. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov · 2020
Cited alongside, same era.
FQuAD: French question answering dataset
M. d’Hoffschmidt, W. Belblidia, Q. Heinrich, T. Brendlé, and M. Vidal · 2020
Cited alongside, same era.
SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis
P. Efimov, A. Chertok, L. Boytsov, and P. Braslavski · 2020
Cited alongside, same era.
MLQA: Evaluating cross-lingual extractive question answering
P. Lewis, B. Oguz, R. Rinott, S. Riedel, and H. Schwenk · 2020
Cited alongside, same era.
Wikipedia: 秀逸な記事 (Good articles)
Wikipedia Contributors · 2022
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Wikipedia: 良質な記事 (Featured articles)
Wikipedia Contributors · 2022
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