Dense Passage Retrieval for Open-Domain Question Answering
Presented by
Nicole Yan
Introduction
Background
Dense Passage Retriever
Model Architecture Overview
Training
Datasets
Retrieval Performance Evaluation
Main Results
Ablation Study on Model Training
Experiments: Question Answering
Conclusion
Critiques
References
[1] 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. EMNLP 2020.