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arXiv · 1805.03830

Towards Inference-Oriented Reading Comprehension: ParallelQA

Soumya Wadhwa·Varsha Embar·Matthias Grabmair·Eric Nyberg
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Abstract

In this paper, we investigate the tendency of end-to-end neural Machine Reading Comprehension (MRC) models to match shallow patterns rather than perform inference-oriented reasoning on RC benchmarks. We aim to test the ability of these systems to answer questions which focus on referential inference. We propose ParallelQA, a strategy to formulate such questions using parallel passages. We also demonstrate that existing neural models fail to generalize well to this setting.

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Soumya Wadhwa, Varsha Embar, Matthias Grabmair, Eric Nyberg. 2018-05-10. Towards Inference-Oriented Reading Comprehension: ParallelQA. https://arxiv.org/abs/1805.03830

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