Conditional Sentence Rephrasing without Parallel Training Corpus
Yen-Ting Lee, Cheng–Te Li, Shou-De Lin · 2022
This paper aims to rephrase a sentence with a given condition, and the generated sentence should be similar to the origin sentence and satisfy the given condition without parallel training corpus. We propose a conditional sentence VAE (CS-VAE) model to solve the task. CS-VAE is trained as an autoencoder, along with the condition control on the generated sentence with the same semantics. With the experimental demonstration supported, CS-VAE is proven to effectively solve the task with high-quality sentences.