Papers › SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph
Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos, Sören Auer
As a novel contribution to the problem of semantifying biological assays, in this paper, we propose a neural-network-based approach to automatically semantify, thereby structure, unstructured bioassay text descriptions. Experimental evaluations, to this end, show promise as the neural-based semantification significantly outperforms a naive frequency-based baseline approach. Specifically, the neural method attains 72% F1 versus 47% F1 from the frequency-based method.
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