Pseudo-Relevance Feedback with Dense Retrievers in Pyserini.
Hang Li|Shengyao Zhuang|Xueguang Ma|Jimmy Lin|Guido Zuccon
| Anthology ID: | DBLP:conf/adcs/LiZMLZ22 |
|---|---|
| Volume: | Proceedings of the 26th Australasian Document Computing Symposium, ADCS 2022, Adelaide, SA, Australia, December 15-16, 2022. |
| Year: | 2022 |
| Venue: | Australasian Document Computing Symposium (ADCS) |
| Publisher: | ACM |
| Pages: | 1:1-1:6 |
| URL: | https://doi.org/10.1145/3572960.3572982 |
| DOI: | https://doi.org/10.1145/3572960.3572982 |
| DBLP: | conf/adcs/LiZMLZ22 |
| BibTeX: |
@inproceedings{li-2022-pseudorelevance,
author = {Hang Li and
Shengyao Zhuang and
Xueguang Ma and
Jimmy Lin and
Guido Zuccon},
editor = {Jia Tina Du and
Joel Mackenzie and
Mehwish Nasim and
Maciej Rybinski},
title = {{Pseudo-Relevance Feedback with Dense Retrievers in Pyserini}},
booktitle = {{Proceedings of the 26th Australasian Document Computing Symposium, ADCS 2022, Adelaide, SA, Australia, December 15-16, 2022}},
pages = {1:1--1:6},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3572960.3572982},
doi = {https://doi.org/10.1145/3572960.3572982}
}