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Copen: Probing conceptual knowledge in pre-trained language models
Distilling semantic concept embeddings from contrastively fine-tuned language models
Learning vectors that capture the meaning of concepts remains a fundamental challenge.
Somewhat surprisingly, perhaps, pre-trained language models have thus far only enabled …
Somewhat surprisingly, perhaps, pre-trained language models have thus far only enabled …
A survey on concept-based approaches for model improvement
The focus of recent research has shifted from merely improving the metrics based
performance of Deep Neural Networks (DNNs) to DNNs which are more interpretable to …
performance of Deep Neural Networks (DNNs) to DNNs which are more interpretable to …
Identification of COVID-19 related fake news via neural stacking
Abstract Identification of Fake News plays a prominent role in the ongoing pandemic,
impacting multiple aspects of day-to-day life. In this work we present a solution to the shared …
impacting multiple aspects of day-to-day life. In this work we present a solution to the shared …