Paraphrasing Model

In this paper, we propose a paraphrasing model to address the task of system com- bination for machine translation. We dy- namically learn hierarchical paraphrases from target hypotheses and form …...

AbstractWe present two novel unsupervised methods for eliminating toxicity in text. Our first method combines two recent ideas: (1) guidance of the generation process with small style-conditional language models and …...

AbstractZero-shot paraphrase generation has drawn much attention as the large-scale high-quality paraphrase corpus is limited. Back-translation, also known as the pivot-based method, is typical to this end. Several works leverage …...