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} }