These patterns require tri-grams for disambiguation, and seq-CNN successfully makes use of them even though the exact tri-grams were not seen during training, as a result of learning, e.g., "am X satisfied" with non-negative X (e.g., "am very satisfied", "am so satisfied") to be predictive of the positive class through training.
cNN can effectively use word order when bag-of-n-gram-based approaches fail.