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} }