Deep Relevance Ranking Using Enhanced Document-Query Interactions

We explore several new models for document relevance ranking, building upon the Deep Relevance Matching Model (DRMM) of Unlike DRMM, which uses context-insensitive encodings of terms and query-document term interactions, we inject rich context-sensitive encodings throughout our models, inspired by PACRR's We test our models on datasets from the BIOASQ question answering challenge