Recently, researchers have also extended this method to unsupervised learn-ing (Hsu et al., 2019) and online learning scenarios .
we propose to learn lowrank embeddings of sentences by tensor decomposition to capture their contextual semantic similarity, which works well regardless of the size of documents (Hosseinimotlagh and Papalexakis, 2018).