Corpus ID: 3871146

MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge

@article{Ostermann2018MCScriptAN,
  title={MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge},
  author={Simon Ostermann and Ashutosh Modi and Michael Roth and Stefan Thater and Manfred Pinkal},
  journal={ArXiv},
  year={2018},
  volume={abs/1803.05223}
}
  • Simon Ostermann, Ashutosh Modi, +2 authors Manfred Pinkal
  • Published 2018
  • Computer Science
  • ArXiv
  • We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge. [...] Key Result The dataset forms the basis of a shared task on commonsense and script knowledge organized at SemEval 2018 and provides challenging test cases for the broader natural language understanding community.Expand Abstract

    Figures, Tables, and Topics from this paper.

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    Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 24 REFERENCES
    SQuAD: 100, 000+ Questions for Machine Comprehension of Text
    • 2,154
    • PDF
    MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
    • 453
    • Highly Influential
    • PDF
    NewsQA: A Machine Comprehension Dataset
    • 317
    • PDF
    Teaching Machines to Read and Comprehend
    • 1,643
    • Highly Influential
    • PDF
    Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
    • 742
    • PDF
    A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
    • 405
    • PDF
    RACE: Large-scale ReAding Comprehension Dataset From Examinations
    • 324
    • Highly Influential
    • PDF
    Glove: Global Vectors for Word Representation
    • 14,627
    • PDF
    Unsupervised Learning of Narrative Event Chains
    • 436
    • PDF