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Reranking

For reranking we use the model proposed by Nogueira and Cho [Nogueira2019] trained on MS-MARCO.

In the notebook Reranking with dl4marco-bert.ipynb we show the steps taken for the reranking phase:

  1. converting the retrieval output into the format required by the model
  2. converting the input files into TF records using the convert_CAST_to_tfrecord.sh script
  3. run the model in inference over the test set using the test_CAST.sh script
  4. use trec_eval for evalution

References

[Nogueira2019] Nogueira, R., & Cho, K. (2019). Passage Re-ranking with BERT. ArXiv, abs/1901.04085.