Papers by Simon Šuster

1 papers
CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension (N18-1)

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Challenge: Currently, machine comprehension datasets are extremely scarce for specialized domains.
Approach: They propose a dataset for machine comprehension in the medical domain using clinical case reports with around 100,000 gap-filling queries about these cases.
Outcome: The proposed dataset uses clinical case reports with around 100,000 gap-filling queries about these cases.

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