To assess the relative importance of the specific encoder model architecture used, we conduct experiments in which we fine-tune standard document representation models via triplet-based training.
we consider a single-layer MLP with BoW inputs, and a Neural Variational Document Model (NVDM) (Miao et al., 2016).