NFDI4DS Shared Tasks
Abstract: Shared tasks have proven to be successful in proposing innovative solutions for challenging research problems. The NFDI4DS consortium plans to host various shared tasks to tackle problems under the umbrella of scholarly information processing. We discuss three shared tasks in detail: Field of Research Classification, Software Mention Detection, and Tracking State-of-the-Art in Empirical AI. We also briefly mention other shared tasks planned to be released in the future.
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@inproceedings{DBLP:conf/gi/Ahmad0RDK00LU23,
author = {Raia Abu Ahmad and
Ekaterina Borisova and
Georg Rehm and
Stefan Dietze and
Saurav Kamakar and
Wolfgang Otto and
Jennifer D'Souza and
Fidan Limani and
Ricardo Usbeck},
editor = {Maike Klein and
Daniel Krupka and
Cornelia Winter and
Volker Wohlgemuth},
title = {{NFDI4DS} Shared Tasks},
booktitle = {53. Jahrestagung der Gesellschaft f{\"{u}}r Informatik, {INFORMATIK}
2023, Designing Future - Zuk{\"{u}}nfte gestalten, Berlin, Germany
September 26-29, 2023},
series = {{LNI}},
volume = {{P-337}},
pages = {931--935},
publisher = {Gesellschaft f{\"{u}}r Informatik, Bonn},
year = {2023},
url = {https://doi.org/10.18420/inf2023\_105},
doi = {10.18420/INF2023\_105},
timestamp = {Fri, 22 Nov 2024 10:56:01 +0100},
biburl = {https://dblp.org/rec/conf/gi/Ahmad0RDK00LU23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}