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Found 3 papers, 2 papers with code
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
This approach empowers domain experts, even those not well-versed in ML/AI, to formally declare their knowledge to be incorporated in customized neural models in the DomiKnowS framework.
GLUECons: A Generic Benchmark for Learning Under Constraints
Recent research has shown that integrating domain knowledge into deep learning architectures is effective -- it helps reduce the amount of required data, improves the accuracy of the models' decisions, and improves the interpretability of models.
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
We demonstrate a library for the integration of domain knowledge in deep learning architectures.
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