Unsupervised Sentence Representation Learning With Adversarial Auto-Encoder

A fixed dimension to represent sentence by Shuai Tang(UC San Diego) and Hailin Jin & Chen Fang & Zhaowen Wang(Adobe Research)

• Goal: a fixed dimension
• Challenge: capture both of the semantic and structural information conveyed by a sentence.
• Advantage: learn representation from the unlabeled large corpus text data.