Improving Neural Topic Modeling with Semantically-Grounded Soft Label Distributions
arXiv:2602.17907v1 Announce Type: cross Abstract: Traditional neural topic models are typically optimized by reconstructing the document's Bag-of-Words (BoW) representations, overlooking contextual information and struggling with …
Raymond Li, Amirhossein Abaskohi, Chuyuan Li, Gabriel Murray, Giuseppe Carenini
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