In this article, we propose a Bayesian embedded spherical topic model (ESTM) that combines both knowledge graph and word embeddings in a non-Euclidean curved space, the hypersphere, for better topic ...

Learning effective representations of text words has long been a research focus in natural language processing and other machine learning tasks. In many early tasks, a text word is often represented ...