Visual Madlibs: Fill in the blank Image Generation and Question Answering
Table 4: BLEU-1 and BLEU-2 computed on Madlibs testing dataset for different approaches.
['[EMPTY]', '[BOLD] BLEU-1 nCCA', '[BOLD] BLEU-1 nCCA(bbox )', '[BOLD] BLEU-1 CNN+LSTM', '[BOLD] BLEU-2 nCCA', '[BOLD] BLEU-2 nCCA(box)', '[BOLD] BLEU-2 CNN+LSTM']
Although the CNN+LSTM models we trained on Madlibs were not quite as accurate as nCCA for selecting the correct multiple-choice answer, they did result in better, sometimes much better, accuracy (as measured by BLEU scores) for targeted generation.