Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation.
Jaekeol Choi|Euna Jung|Jangwon Suh|Wonjong Rhee
| Anthology ID: | DBLP:conf/sigir/ChoiJSR21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2192-2196 |
| URL: | https://doi.org/10.1145/3404835.3463076 |
| DOI: | https://doi.org/10.1145/3404835.3463076 |
| DBLP: | conf/sigir/ChoiJSR21 |
| BibTeX: |
@inproceedings{choi-2021-improving,
author = {Jaekeol Choi and
Euna Jung and
Jangwon Suh and
Wonjong Rhee},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {2192--2196},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3463076},
doi = {https://doi.org/10.1145/3404835.3463076}
}