Elsevier Data Science Health Sciences at TREC 2022 Clinical Trials: Exploring Transformer Embeddings for Clinical Trial Retrieval.
Drahomira Herrmannova|Sharvari Jadhav|Harsh Sindhwa|Hina Nazir|Elia Lima-Walton
| Anthology ID: | DBLP:conf/trec/HerrmannovaJSNL22 |
|---|---|
| Volume: | Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022 |
| Year: | 2022 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | https://trec.nist.gov/pubs/trec31/papers/els_dshs.T.pdf |
| DBLP: | conf/trec/HerrmannovaJSNL22 |
| BibTeX: |
@inproceedings{herrmannova-2022-elsevier,
author = {Drahomira Herrmannova and
Sharvari Jadhav and
Harsh Sindhwa and
Hina Nazir and
Elia Lima-Walton},
editor = {Ian Soboroff and
Angela Ellis},
title = {{Elsevier Data Science Health Sciences at TREC 2022 Clinical Trials: Exploring Transformer Embeddings for Clinical Trial Retrieval}},
booktitle = {{Proceedings of the Thirty-First Text REtrieval Conference, TREC 2022, online, November 15-19, 2022}},
series = {NIST Special Publication},
volume = {500-338},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2022},
url = {https://trec.nist.gov/pubs/trec31/papers/els_dshs.T.pdf}
}