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out of order how important is the sequential order of words in a sentence in natural language understanding task a joint work between urban university and docHub in the past glue tasks were quite challenging for deep models and the best one only achieved up to 70 which is docHubly far from human performance with around 87 percent however after the transformer architecture was introduced the transformer based models have outperformed human baselines by almost four percent yet a machine really at human level in understanding natural language state of the art models consider two sentences as duplicate now we destroy world order and interestingly the models tilting the sentences are semantically equivalent we also obtain the same observation for six order glue tasks we perform a large scale study for three based models on seven glue tasks including four shuffle sets per real set namely unicram bike ram trigram and tuner square without two contrastive results four grammatical error dete
