Before revision:  In this paper, we propose a novel cause-effect look at the language bias , where the bias is formulated as the direct  effect of question on answer from the view of causal inference.
After revision:  In this paper, we investigate how to capture and mitigate language bias in VQA. Motivated by causal effects, we proposed a novel counterfactual inference framework, which enables us to capture the language bias , where the bias is formulated as the direct effect of question on answer from the view of causal inference.