Eval all, trust a few, do wrong to none: Comparing sentence generation models

Ondřej Cífka
CoRR, abs/1804.07972(2018)


In this paper we study various flavors of variational autoencoders and address the methodological issues with the current neural text generation research and also close some gaps by answering a few natural questions to the studies already published.