Dense Passage Retrieval for Open-Domain Question Answering

From statwiki
Revision as of 23:25, 13 November 2020 by X46yan (talk | contribs)
Jump to: navigation, search

Presented by

Nicole Yan

1. Introduction

2. Background

3. Dense Passage Retriever

3.1 Model Architecture Overview

3.2 Training

4. Experimental Setup

5. Retrieval Performance Evaluation

5.1 Main Results

5.2 Ablation Study on Model Training

5.3 Qualitative Analysis

5.4 Run-time Efficiency

6. Experiments: Question Answering

7. Related Work

8. 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.