Search Results for: Kernels broken
zhuyun dai, jamie callan, zhiyuan liu, and russell power this paper proposes k-nrm, a kernel based neural model for document ranking. given a query and a set of documents, k-nrm uses a translation matrix that models word-level similarities via word embeddings, a new kernel-pooling technique that uses kernels
zhuyun dai, jamie callan, zhiyuan liu, and russell power this paper proposes k-nrm, a kernel based neural model for document ranking. given a query and a set of documents, k-nrm uses a translation matrix that models word-level similarities via word embeddings, a new kernel-pooling technique that uses kernels...
https://pages.semanticscholar.org/research