Instead of learning the representations of the question and the answer separately, some recent studies exploit attention mechanisms to learn the interaction information between questions and answers, which can better focus on relevant parts of the input (Tan et al., 2016;.
these methods are subject to the amount of labeled data and the limited information provided by contexts.