Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble
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...
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| creator | Tziafas, Giorgos Kogkalidis, Konstantinos Caselli, Tommaso |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2104.05745 |
| format | Article |
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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
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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
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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.</abstract><doi>10.48550/arxiv.2104.05745</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Computation and Language |
| title | Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble |
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