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cs.IR2023
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models
Simra Shahid, Tanay Anand, Nikitha Srikanth +3
Hierarchical Topic Models (HTMs) are useful for discovering topic hierarchies in a collection of documents. However, traditional HTMs often produce hierarchies where lowerlevel top…
cs.IR2023★ 1 cited
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation
Michael Llordes, Debasis Ganguly, Sumit Bhatia +1
Neural retrieval models (NRMs) have been shown to outperform their statistical counterparts owing to their ability to capture semantic meaning via dense document representations. T…