Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
Table 1: Results on SemEval 2018 Task 11 (MCScript). Here, models with * are ensemble models.
['[BOLD] Models', '[BOLD] Dev', '[BOLD] Test']
Integrated Reading Comprehension: Table. After integrating the semi-supervised visual integration framework, the TriAN model outperforms previous SOTA performance both on single and ensemble condition. Because we could not access the test data, we verify the improvement of the framework on develop set and see statistically improvement under the one-tailed paired t-test at the 99% significance level. To show the ability of the semi-supervised visual integration framework, we also compare how much performance gain the framework and ConceptNet conceptnet:2012 give to TriAN base model.