Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble
2021-04-12NAACL (NLP4IF) 2021Code Available0· sign in to hype
Giorgos Tziafas, Konstantinos Kogkalidis, Tommaso Caselli
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ReproduceCode
- github.com/gtziafas/nlp4ifchallengeOfficialIn paperpytorch★ 2
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| NLP4IF-2021--Fighting the COVID-19 Infodemic | TOKOFOU | Average F1 | 89.7 | — | Unverified |