Therefore, in many special domains, only trained models or APIs are available, while their training data are private and inaccessible.
due to insufficient labeled training data, deep models usually fail to behave normally in such domain, and state-of-the-art methods in these domains are usually dominated by rule based deductive methods or shallow model with hand-crafted features.