R.J. Kuo

GASTM: A Graph-Adapted Semantic Topic Model With Instance-Aware Dual-View Fusion

2026 · IEEE Access

In neural topic modeling, the reliability of a document representation varies from one document to the next: a syntactic view drawn from a dependency graph is informative when the parse is well formed, whereas a …