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--- |
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language: |
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- en |
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tags: |
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- text reranking |
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license: Apache License 2.0 |
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datasets: |
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- MS MARCO document ranking |
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--- |
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# BERT Reranker for MS-MARCO Document Ranking |
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## Model description |
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A text reranker trained for BM25 retriever on MS MARCO document dataset. |
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## Intended uses & limitations |
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It is possible to work with other retrievers like but using aligned BM25 works the best. |
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We used anserini toolkit's BM25 implementation and indexed with tuned parameters (k1=3.8, b=0.87) following [this instruction](https://github.com/castorini/anserini/blob/master/docs/experiments-msmarco-doc.md). |
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#### How to use |
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See our [project repo page](https://github.com/luyug/Reranker). |
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## Eval results |
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MRR @10: 0.423 on Dev. |
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### BibTeX entry and citation info |
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```bibtex |
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@inproceedings{gao2021lce, |
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title={Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline}, |
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author={Luyu Gao and Zhuyun Dai and Jamie Callan}, |
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year={2021}, |
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booktitle={The 43rd European Conference On Information Retrieval (ECIR)}, |
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} |
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``` |
