https://www.selleckchem.com/pr....oducts/ly-3475070.ht
We evaluate SIWRs on three information extraction tasks, namely nested named entity recognition (NER), binary and n-ary relation extractions (REs). The results demonstrate that our SIWRs yield performance gains over the base representations in these NLP tasks with 3-9% relative error reduction. Our SIWRs also perform better than fine-tuning BERT in binary RE. We also conduct extensive experiments to analyse the proposed method.In this work, we estimate the total number of infected and deaths by COVID-19 in Brazil and two Brazilian St
Like
Comment
Share
