SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph

09/16/2020

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by   Marco Anteghini, et al.

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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 frequency-based method.