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arXiv · 2009.08801

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

Marco Anteghini·Jennifer D'Souza·Vitor A. P. Martins dos Santos·Sören Auer
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Abstract

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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BibTeXRIS

Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos, Sören Auer. 2020-09-16. SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph. https://arxiv.org/abs/2009.08801

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