Closed yangky11 closed 3 years ago
Also, are the provided files (data/hotpot/train_retrieval_b100_k100_sp.json
and data/hotpot/dev_retrieval_b50_k50_sp.json
) with or without reranking?
Those files are without reranking. The reranking part is inside the reader model. It might not be necessary to add an additional reranking phrase before the reader model. https://github.com/facebookresearch/multihop_dense_retrieval/blob/main/mdr/qa/qa_model.py#L43
Thanks!
Hi,
Thanks for sharing the code! I read from the paper that there is a reranking step before training the reader, but I'm unable to find how is it performed by following the README. Is reranking necessary? How to do it in the current repo? Thank you!
Best regards,