Which is better? Taxonomy induction with learning the optimal structure via contrastive learning
A taxonomy represents a hierarchically structured knowledge graph that forms the
infrastructure for various downstream applications, including recommender systems, web …
infrastructure for various downstream applications, including recommender systems, web …
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
Document retrieval has greatly benefited from the advancements of large-scale pre-trained
language models (PLMs). However, their effectiveness is often limited in theme-specific …
language models (PLMs). However, their effectiveness is often limited in theme-specific …
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering
Hierarchical topic models that can mine topics representing latent semantics and organize
these topics into hierarchies have been widely developed. However, the existing methods …
these topics into hierarchies have been widely developed. However, the existing methods …