Machine Learning, NLP, Computer Vision, Information Retrieval, Transformers.
compute the relevance of each document query pair. An initial retriever (M) selects a pool of candidates C from a whole corpus of documents D. A neural model — the re-ranker (R)— gets each document-query pair as an input and scores their relevance. This process generally relies on human annotations