The experimental results on real-world datasets including Quasar-T, SearchQA and TriviaQA show that our system achieves significant and consistent improvement as compared to all baseline methods by aggregating extracted answers of all informative paragraphs.
we show that our model can achieve comparable performance by selecting a few informative paragraphs, which greatly speeds up the whole DS-QA system.