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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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+
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+ # BERT Reranker for MS-MARCO Document Ranking
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+
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+ ## Model description
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+
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+ A text reranker trained for BM25 retriever on MS MARCO document dataset.
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+
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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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+
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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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+
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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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+
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+ ## Eval results
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+ MRR @10: 0.423 on Dev.
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+
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+ ### BibTeX entry and citation info
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+
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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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+ }
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+ ```