NFDI4DS Shared Tasks
dc.contributor.author | Abu Ahmad, Raia | |
dc.contributor.author | Borisova, Ekaterina | |
dc.contributor.author | Rehm, Georg | |
dc.contributor.author | Dietze, Stefan | |
dc.contributor.author | Kamakar, Saurav | |
dc.contributor.author | Otto, Wolfgang | |
dc.contributor.author | D’Souza, Jennifer | |
dc.contributor.author | Limani, Fidan | |
dc.contributor.author | Usbeck, Ricardo | |
dc.contributor.editor | Klein, Maike | |
dc.contributor.editor | Krupka, Daniel | |
dc.contributor.editor | Winter, Cornelia | |
dc.contributor.editor | Wohlgemuth, Volker | |
dc.date.accessioned | 2023-11-29T14:50:18Z | |
dc.date.available | 2023-11-29T14:50:18Z | |
dc.date.issued | 2023 | |
dc.description.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. | en |
dc.identifier.doi | 10.18420/inf2023_105 | |
dc.identifier.isbn | 978-3-88579-731-9 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43025 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
dc.subject | NFDI | |
dc.subject | NFDI4DS | |
dc.subject | Shared Tasks | |
dc.title | NFDI4DS Shared Tasks | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 935 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 931 | |
gi.conference.date | 26.-29. September 2023 | |
gi.conference.location | Berlin | |
gi.conference.sessiontitle | Öffentliche Infrastruktur - Research Data Infrastructures for Data Science and AI (RDI4DataScience) |
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