In this work, we further compare and investigate different ways of combining CTKs and CNNs in reranking settings.
we follow the intuition that as CNNs learn the embeddings in a classification setting they should be used in the same way for building the reranking kernel, i.e., we need to use the embeddings in a pointwise reranking fashion.