RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

Yingqi Qu Yuchen Ding
Yingqi Qu Yuchen Ding
Ruiyang Ren
Ruiyang Ren
Xin Zhao
Xin Zhao
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Abstract:

In open-domain question answering, dense passage retrieval has become a new paradigm to retrieve relevant passages for answer finding. Typically, the dual-encoder architecture is adopted to learn dense representations of questions and passages for matching. However, it is difficult to train an effective dual-encoder due to the challenge...More

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