logo

text-embedding
/
dpr
repo-copy-icon

copied

Browse Source

Update README 

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
main
Jael Gu 2 years ago
parent
5912292935
commit
ab54958376
1 changed files with 2 additions and 2 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Unified View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 4
      README.md

4
README.md
View File

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

Write Preview
Loading…
Cancel
Save