LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.
Kai Zhang|Chongyang Tao|Tao Shen|Can Xu|Xiubo Geng|Binxing Jiao|Daxin Jiang
| Anthology ID: | DBLP:conf/www/ZhangTSXGJJ23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3203-3213 |
| URL: | https://doi.org/10.1145/3543507.3583294 |
| DOI: | https://doi.org/10.1145/3543507.3583294 |
| DBLP: | conf/www/ZhangTSXGJJ23 |
| BibTeX: |
@inproceedings{zhang-2023-led,
author = {Kai Zhang and
Chongyang Tao and
Tao Shen and
Can Xu and
Xiubo Geng and
Binxing Jiao and
Daxin Jiang},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {3203--3213},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583294},
doi = {https://doi.org/10.1145/3543507.3583294}
}