A possible explanation is that the Paragraph Vector model assigns a distinct vector to each of the news articles, thus inconsistency between news in different news browsing sequences is easily created by the sequence-level fine-tuning.
for unsupervised learning, the autoencoder model is an early solution to compress text data (Vincent et al., 2010).