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Found 4 papers, 1 papers with code
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across Languages
Multilingual topic models can reveal patterns in cross-lingual document collections.
Learning a Concept Hierarchy from Multi-labeled Documents
While topic models can discover patterns of word usage in large corpora, it is difficult to meld this unsupervised structure with noisy, human-provided labels, especially when the label space is large.
Lexical and Hierarchical Topic Regression
Inspired by a two-level theory that unifies agenda setting and ideological framing, we propose supervised hierarchical latent Dirichlet allocation (SHLDA) which jointly captures documents' multi-level topic structure and their polar response variables.
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Discovering hierarchical regularities in data is a key problem in interacting with large datasets, modeling cognition, and encoding knowledge.
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