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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 HDCT retriever on MS MARCO document dataset. | |
## Intended uses & limitations | |
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best. | |
#### How to use | |
See our [project repo page](https://github.com/luyug/Reranker). | |
## Eval results | |
MRR @10: 0.434 on Dev. | |
MRR @10: 0.382 on Eval. | |
### 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)}, | |
} | |
``` |