Auflistung nach Schlagwort "Neural machine learning"

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Automated Mining of Leaderboards for Empirical AI Research

Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (New York, NY : Springer, 2021)

With the rapid growth of research publications, empowering scientists to keep an oversight over scientific progress is of paramount importance. In this regard, the leaderboards facet of information organization provides ...
Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections

Jiang, Ming; D’Souza, Jennifer; Auer, Sören; Downie, J. Stephen (Heidelberg : Springer, 2021)

The rapid growth of research publications has placed great demands on digital libraries (DL) for advanced information management technologies. To cater to these demands, techniques relying on knowledge-graph structures are ...
ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph

Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (Berlin ; Heidelberg ; New York : Springer, 2023)

The purpose of this work is to describe the orkg-Leaderboard software designed to extract leaderboards defined as task–dataset–metric tuples automatically from large collections of empirical research papers in artificial ...

Anzeige der Dokumente 1-3 von 3

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