2.7k citations · 6.8k across the 39 of their papers we have counts for
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cs.CL2017★ 26 cited
Controllable Abstractive Summarization
Angela Fan, David Grangier, Michael Auli
Current models for document summarization disregard user preferences such as the desired length, style, the entities that the user might be interested in, or how much of the docume…
cs.CL2017★ 7 cited
Prior matters: simple and general methods for evaluating and improving topic quality in topic modeling
Angela Fan, Finale Doshi-Velez, Luke Miratrix
Latent Dirichlet Allocation (LDA) models trained without stopword removal often produce topics with high posterior probabilities on uninformative words, obscuring the underlying co…