SciBERT based Semantification of Bioassays in the Open Research Knowledge Graph
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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