End-to-End Neural Ad-hoc Ranking with Kernel Pooling

Chenyan Xiong, Zhuyun Dai, Jamie Callan +2

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 similariti…