Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of bag-of-words retrievers. At the same time, deep language models have been shown to outperform traditional bag-of-words rerankers. However, it is unclear how to integrate PRF directly with emergent deep language models. This art...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |