TLDR: I made "poor man’s" DSSM (Deep Structured Semantic Model) — the count-based translation table that can enrich the inverted index for full-text search. This trick can improve baseline BM25. So the idea is the following: - You have supervised pairs (query, relevant document), e.g., MS MARCO or c
