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Found 2 papers, 1 papers with code
Hierarchical Text Classification with Reinforced Label Assignment
While existing hierarchical text classification (HTC) methods attempt to capture label hierarchies for model training, they either make local decisions regarding each label or completely ignore the hierarchy information during inference.
Ranked #1 on
Text Classification
on RCV1
(Macro F1 metric)
End-to-End Hierarchical Text Classification with Label Assignment Policy
We present an end-to-end reinforcement learning approach to hierarchical text classification where documents are labeled by placing them at the right positions in a given hierarchy.
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