Furthermore, we show the distinctive nature of TWEETQA by comparing the collected data with traditional QA datasets collected primarily from formal domains.
we demonstrate empirically that three strong neural models which achieve good performance on formal data do not generalize well to social media data, bringing out challenges to developing QA systems that work well on social media domains.