Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge.
Andrés Rosso-Mateus|León A. Muñoz-Serna|Manuel Montes-y-Gómez|Fabio A. González
| Anthology ID: | DBLP:conf/clef/Rosso-MateusMM023 |
|---|---|
| Volume: | Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. |
| Year: | 2023 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| Pages: | 168-177 |
| URL: | https://ceur-ws.org/Vol-3497/paper-015.pdf |
| DBLP: | conf/clef/Rosso-MateusMM023 |
| BibTeX: |
@inproceedings{rossomateus-2023-deep,
author = {Andr\'{e}s Rosso-Mateus and
Le\'{o}n A. Mu\~{n}oz-Serna and
Manuel Montes-y-G\'{o}mez and
Fabio A. Gonz\'{a}lez},
editor = {Mohammad Aliannejadi and
Guglielmo Faggioli and
Nicola Ferro and
Michail Vlachos},
title = {{Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge}},
booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023}},
series = {CEUR Workshop Proceedings},
volume = {3497},
pages = {168--177},
publisher = {CEUR-WS.org},
year = {2023},
url = {https://ceur-ws.org/Vol-3497/paper-015.pdf}
}