  We present a novel approach to answer the Chinese elementary school Social
Study Multiple Choice questions. Although BERT has demonstrated excellent
performance on Reading Comprehension tasks, it is found not good at handling
some specific types of questions, such as Negation, All-of-the-above, and
None-of-the-above. We thus propose a novel framework to cascade BERT with a
Pre-Processor and an Answer-Selector modules to tackle the above challenges.
Experimental results show the proposed approach effectively improves the
performance of BERT, and thus demonstrate the feasibility of supplementing BERT
with additional modules.
