As an alternative to the feature-based methods, the kernel-based methods (Haussler, 1999) have been proposed to implicitly explore various features in a high dimensional space by employing a kernel to calculate the similarity between two objects directly.
the kernel-based methods could be very effective at reducing the burden of feature engineering for structured objects in NLP researches, e.g.