In this paper, we propose an unsupervised MDS solution, which deals with both sequential context information in a single document and the correlations among documents.
many studies attempt to construct well connected graphs, e.g., group sentences into clusters (Wan and Yang, 2008;Banerjee et al., 2015) and construct dense features with distributed embeddings (Yasunaga et al., 2017).