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In natural language processing, dense passage retrieval refers to retrieving passages for question answering by comparing learned dense embeddings of questions and passages from two encoders, instead of sparse term matching. This meaning comes from Karpukhin (2020) in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).[1]
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