readme: ---
  language:
  - en
  tags:
  - text reranking
  license: apache-2.0
  datasets:
  - MS MARCO document ranking
  ---
  
  # BERT Reranker for MS-MARCO Document Ranking
  
  ## Model description
  
  A text reranker trained for BM25 retriever on MS MARCO document dataset.
  
  ## Intended uses & limitations
  It is possible to work with other retrievers like but using aligned BM25 works the best.
  
  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).
  
  #### How to use
  See our [project repo page](https://github.com/luyug/Reranker).
  
  ## Eval results
  MRR @10: 0.423 on Dev.
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @inproceedings{gao2021lce,
                 title={Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline}, 
                 author={Luyu Gao and Zhuyun Dai and Jamie Callan},
                 year={2021},
                 booktitle={The 43rd European Conference On Information Retrieval (ECIR)},
        
  }
  ```