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Found 3 papers, 1 papers with code
Human and Automatic Interpretation of Romanian Noun Compounds
Determining the intended, context-dependent meanings of noun compounds like "shoe sale" and "fire sale" remains a challenge for NLP.
Distilling Symbolic Priors for Concept Learning into Neural Networks
Is it possible to create a neural network that displays the same inductive biases?
GFN-SR: Symbolic Regression with Generative Flow Networks
Symbolic regression (SR) is an area of interpretable machine learning that aims to identify mathematical expressions, often composed of simple functions, that best fit in a given set of covariates $X$ and response $y$.
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