A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models
[article]
2021
arXiv
pre-print
Identifying the relations between chemicals and proteins is an important text mining task. BioCreative VII track 1 DrugProt task aims to promote the development and evaluation of systems that can automatically detect relations between chemical compounds/drugs and genes/proteins in PubMed abstracts. In this paper, we describe our submission, which is an ensemble system, including multiple BERT-based language models. We combine the outputs of individual models using majority voting and multilayer
arXiv:2112.03004v1
fatcat:svpjh324uzcm3gsdot4nctvuzi