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ExplainYourself focuses on developing explainable automatic fact checking using machine learning techniques. The project aims to enhance the transparency of predictions by providing clear explanations of how models assess the truthfulness of claims, addressing the challenges of trust and understanding in complex natura…
ExplainYourself proposes to study explainable automatic fact checking, the task of automatically predicting the veracity of textual claims using machine learning (ML) methods, while also producing explanations about how the model arrived at the prediction.
Automatic fact checking methods often use opaque deep neural network models, whose inner workings cannot easily be explained.
Especially for complex tasks such as automatic fact checking, this hinders greater adoption, as it is unclear to user…
KOBENHAVNS UNIVERSITET
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