Hybrid Kernel-based Method We further study a hybrid approach that combines neural feature extraction with pairwise closeness measuring.
given a pair of a current keyword and a candidate next keyword, we follow (Xiong et al., 2017) by first measuring the cosine similarity of their normalized word embeddings, and feeding the quantity to a kernel layer consisting of K RBF kernels.