To do this, we first transform each x, which is a sequence of feature vectors (tokens), into a single kernel vector x: where f j (x t ) is the value of feature f j for token x t , and J is the number of features in the input representation 2 .
sequence x is compressed into a fixed-length feature vector x, for which each element is the sum of the corresponding feature's values across all tokens.