Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
Table 2: Results on six most frequent question types.
['[BOLD] Models', '[BOLD] y/n', '[BOLD] what', '[BOLD] why', '[BOLD] who', '[BOLD] where', '[BOLD] when']
Analysis by Question Categories: To figure out how the semi-supervised visual integration framework helps reading comprehension, we perform an analysis of performance change on six most frequent question types. The framework does not help answering abstract why, who and when questions, which supports our hypothesis that the framework mainly gives real world state of objects and scene.