Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Qiao Jin|Chuanqi Tan|Mosha Chen|Ming Yan|Songfang Huang|Ningyu Zhang|Xiaozhong Liu
| Anthology ID: | DBLP:conf/trec/JinJTCYHZL20 |
|---|---|
| Volume: | Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020, Virtual Event [Gaithersburg, Maryland, USA], November 16-20, 2020. |
| Year: | 2020 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | https://trec.nist.gov/pubs/trec29/papers/ALIBABA.PM.pdf |
| DBLP: | conf/trec/JinJTCYHZL20 |
| BibTeX: |
@inproceedings{jin-2020-aliababa,
author = {Qiao Jin and
Chuanqi Tan and
Mosha Chen and
Ming Yan and
Songfang Huang and
Ningyu Zhang and
Xiaozhong Liu},
editor = {Ellen M. Voorhees and
Angela Ellis},
title = {{Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning}},
booktitle = {{Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020, Virtual Event [Gaithersburg, Maryland, USA], November 16-20, 2020}},
series = {NIST Special Publication},
volume = {1266},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2020},
url = {https://trec.nist.gov/pubs/trec29/papers/ALIBABA.PM.pdf}
}