Feature Selection as Causal Inference: Experiments with Text Classification

CONLL 2017 Michael J. Paul

This paper proposes a matching technique for learning causal associations between word features and class labels in document classification. The goal is to identify more meaningful and generalizable features than with only correlational approaches... (read more)

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