SQuAD: 100, 000+ Questions for Machine Comprehension of Text

@article{Rajpurkar2016SQuAD10,
  title={SQuAD: 100, 000+ Questions for Machine Comprehension of Text},
  author={Pranav Rajpurkar and Jian Zhang and Konstantin Lopyrev and Percy Liang},
  journal={ArXiv},
  year={2016},
  volume={abs/1606.05250}
}
  • Pranav Rajpurkar, Jian Zhang, +1 author Percy Liang
  • Published 2016
  • Computer Science
  • ArXiv
  • We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the corresponding reading passage. [...] Key Result However, human performance (86.8%) is much higher, indicating that the dataset presents a good challenge problem for future research. The dataset is freely available at this https URLExpand Abstract
    Global Span Representation Model for Machine Comprehension on SQuAD
    NewsQA: A Machine Comprehension Dataset
    • 319
    • Highly Influenced
    • PDF
    SQuAD Reading Comprehension
    Implementation and Improvement of Match-LSTM in Question-Answering System
    Deep Coattention Networks for Reading Comprehension
    Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
    • 101
    • Highly Influenced
    • PDF
    EXTRACTIVE QUESTION ANSWERING
    Coattention-Based Neural Network for Question Answering

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