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Comparative Analysis of Neural QA models on SQuAD
The task of Question Answering has gained prominence in the past few decades for testing the ability of machines to understand natural language.
Towards Inference-Oriented Reading Comprehension: ParallelQA
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.
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