23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.CL2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
Alexander Hoyle, Lorena Calvo-Bartolomé, Jordan Boyd-Graber +1
Topic model and document-clustering evaluations either use automated metrics that align poorly with human preferences or require expert labels that are intractable to scale. We des…
cs.CL2021★ 23 cited
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Hoyle, Pranav Goel, Denis Peskov +3
Topic model evaluation, like evaluation of other unsupervised methods, can be contentious. However, the field has coalesced around automated estimates of topic coherence, which rel…