Label Semantic Expansion via Label Guided Neural Topic Modeling
A Label-Guided Neural Topic Model (LGNTM) is proposed, which learns dedicated label-aligned topics, grounds them in lexical and document semantic spaces, and preserves consistency between topic structures and label structures.
Hao-Jia Zheng, Yuyin Lu, Jun-Tian Huang et al.
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