Papers with intentional fusion of semantic and hierarchical modules

1 papers
Exploiting Global and Local Hierarchies for Hierarchical Text Classification (2022.emnlp-main)

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Challenge: Existing methods encode label hierarchy in a global view, which makes them hard to exploit hierarchical information.
Approach: They propose to leverage label hierarchy in multi-label text classification by encoding label hierarchy as a static hierarchical structure containing all labels.
Outcome: The proposed method achieves significant improvement on three benchmark datasets compared with the state-of-the-art method HGCLR.

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