Papers with multi-span extraction method

1 papers
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning (D19-1)

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Challenge: Existing models for reading comprehension and question answering do not support discrete reasoning abilities.
Approach: They propose a reading comprehension model that uses a multi-type answer predictor and a multiple-span extraction method to produce one or multiple text spans.
Outcome: The proposed model achieves 79.9 F1 on the DROP hidden test set, creating new state-of-the-art results.

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