HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model
Hierarchical Topic Models (HTMs) are useful for discovering topic hierarchies in a collection of documents. However, traditional HTMs …
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TAN-NTM: Topic Attention Networks for Neural Topic Modeling
Topic models have been widely used to learn text representations and gain insight into document corpora. To perform topic discovery, …
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