PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences.

Narges Tavakolpoursaleh|Johann Schaible


Anthology ID:DBLP:conf/clef/Tavakolpoursaleh21
Volume:Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021.
Year:2021
Venue:Conference and Labs of the Evaluation Forum (CLEF)
Publisher:CEUR-WS.org
Pages:1712-1722
URL:https://ceur-ws.org/Vol-2936/paper-145.pdf
DBLP:conf/clef/Tavakolpoursaleh21
BibTeX:
@inproceedings{tavakolpoursaleh-2021-pyterrierbased, author = {Narges Tavakolpoursaleh and Johann Schaible}, editor = {Guglielmo Faggioli and Nicola Ferro and Alexis Joly and Maria Maistro and Florina Piroi}, title = {{PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences}}, booktitle = {{Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021}}, series = {CEUR Workshop Proceedings}, volume = {2936}, pages = {1712--1722}, publisher = {CEUR-WS.org}, year = {2021}, url = {https://ceur-ws.org/Vol-2936/paper-145.pdf} }