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Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble

2021/04/12 by Giorgos Tziafas, Tziafas, Giorgos, Konstantinos Kogkalidis +3
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL

paper · pdf · doi:10.48550/arxiv.2104.05745

4 pages, NLP4IF 2021

arxiv created 2021/04/12 · arxiv updated 2021/04/14

Abstract

This paper describes the TOKOFOU system, an ensemble model for misinformation detection tasks based on six different transformer-based pre-trained encoders, implemented in the context of the COVID-19 Infodemic Shared Task for English. We fine tune each model on each of the task's questions and aggregate their prediction scores using a majority voting approach. TOKOFOU obtains an overall F1 score of 89.7%, ranking first.

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