Explore the following links to gain more insights into learning representation of text:

• Distributed Representations of Words and Phrases and their Compositionality, by Tomas Mikolov, et al., https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
• Distributed Representations of Sentences and Documents, by Quoc Le and Tomas Mikolov, https://cs.stanford.edu/~quocle/paragraph_vector.pdf
• Skip-thought Vectors, by Ryan Kiros, et al., https://arxiv.org/pdf/1506.06726.pdf
• An Efficient Framework for Learning Sentence Representations, by Lajanugen Logeswaran and Honglak Lee, https://arxiv.org/pdf/1803.02893.pdf