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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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README.md
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@ -12,14 +12,14 @@ Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art |
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It was introduced in Dense Passage Retrieval for Open-Domain Question Answering by Vladimir Karpukhin, |
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Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih[1]. |
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**DPR** models were proposed in “[Dense Passage Retrieval for Open-Domain Question Answering][2]. |
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**DPR** models were proposed in "Dense Passage Retrieval for Open-Domain Question Answering"[2]. |
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In this work, we show that retrieval can be practically implemented using dense representations alone, |
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where embeddings are learned from a small number of questions and passages by a simple dual-encoder framework[2]. |
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## Reference |
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[1].https://huggingface.co/docs/transformers/v4.16.2/en/model_doc/longformer#transformers.LongformerConfig |
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[1].https://huggingface.co/docs/transformers/model_doc/dpr |
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[2].https://arxiv.org/abs/2004.04906 |
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