RoBERTaEns: Deep Bidirectional Encoder Ensemble Model for Fact Verification

RoBERTaEns: Deep Bidirectional Encoder Ensemble Model for Fact Verification

The application of the bidirectional encoder model to detect fake news has been widely applied because of its ability to provide factual verification with good results. Good fact verification requires the most optimal model and has the best evaluation to make news readers trust the reliable and accu...

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Bibliographic Details
Main Authors: Muchammad Naseer, Jauzak Hussaini Windiatmaja, Muhamad Asvial, Riri Fitri Sari
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Big Data and Cognitive Computing
Subjects:
fact verification
fake news
FEVER dataset
homogeneous ensemble
RoBERTa
RoBERTaEns
Online Access:https://www.mdpi.com/2504-2289/6/2/33

Internet

https://www.mdpi.com/2504-2289/6/2/33

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