This paper introduces a novel variational autoencoder model termed DVAE to prevent posterior collapse in text modeling. DVAE employs a dual-path architecture within its decoder: path A and path B. Path A makes the direct input of text instances into the decoder. whereas path B replaces a subset of word tokens in the text instances with a generic unknown token before their input into t... https://www.popularfilm.blog/