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} }