Dense passage retriever (DPR) is a dense retrieval method described in the following paper: Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen tau Yih. Dense Passage Retrieval for Open Domain Question Answering. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages 6769 6781, 2020. We have trained our own DPR models with our Wikipedia corpus variants using the Tevatron library. Our own efforts are described in the paper entitled: Pre Processing Matters! Improved Wikipedia Corpora for Open Domain Question Answering. This is the query encoder portion of a 2nd iteration DPR model for the wiki all 8 4 corpus variant trained on the amalgamation of the NQ, TriviaQA, WQ, and CuratedTREC datasets.
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