Recent work has ranged from trying to learn to compose word embeddings (Le and Mikolov, 2014;Pham et al., 2015;Wieting et al., 2016;Arora et al., 2017), to neural architectures for predicting the previous and next sentences  or learning representations via largescale supervised tasks (Conneau et al., 2017).
skipThought  led to an increased interest in learning sentence representations.