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Found 2 papers, 2 papers with code
Semantic Document Distance Measures and Unsupervised Document Revision Detection
In this paper, we model the document revision detection problem as a minimum cost branching problem that relies on computing document distances.
Unsupervised Terminological Ontology Learning based on Hierarchical Topic Modeling
In this paper, we present hierarchical relationbased latent Dirichlet allocation (hrLDA), a data-driven hierarchical topic model for extracting terminological ontologies from a large number of heterogeneous documents.
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