• Computer Science
  • Published in ArXiv 2019

Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension

@article{Sun2019ProbingPK,
  title={Probing Prior Knowledge Needed in Challenging Chinese Machine Reading Comprehension},
  author={Kai Sun and Dian Yu and Dong Yu and Claire Cardie},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.09679}
}
With an ultimate goal of narrowing the gap between human and machine readers in text comprehension, we present the first collection of Challenging Chinese machine reading Comprehension datasets (C^3) collected from language and professional certification exams, which contains 13,924 documents and their associated 23,990 multiple-choice questions. Most of the questions in C^3 cannot be answered merely by surface-form matching against the given text. As a pilot study, we closely analyze the… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-2 OF 2 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 60 REFERENCES

DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension

VIEW 7 EXCERPTS

NewsQA: A Machine Comprehension Dataset

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Teaching Machines to Read and Comprehend

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL