PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL.
Yixuan Qiao|Hao Chen|Tuozhen Liu|Xianbin Ye|Jun Wang|Peng Gao|Guotong Xie
| Anthology ID: | DBLP:conf/trec/QiaoC0GXLYX21 |
|---|---|
| Volume: | Proceedings of the Thirtieth Text REtrieval Conference, TREC 2021, online, November 15-19, 2021 |
| Year: | 2021 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | https://trec.nist.gov/pubs/trec30/papers/PASH-DL.pdf |
| DBLP: | conf/trec/QiaoC0GXLYX21 |
| BibTeX: |
@inproceedings{qiao-2021-pash,
author = {Yixuan Qiao and
Hao Chen and
Tuozhen Liu and
Xianbin Ye and
Jun Wang and
Peng Gao and
Guotong Xie},
editor = {Ian Soboroff and
Angela Ellis},
title = {{PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL}},
booktitle = {{Proceedings of the Thirtieth Text REtrieval Conference, TREC 2021, online, November 15-19, 2021}},
series = {NIST Special Publication},
volume = {500-335},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2021},
url = {https://trec.nist.gov/pubs/trec30/papers/PASH-DL.pdf}
}