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Related Papers
Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
AbstractText style transfer rephrases a text from a source style (e.g., informal) to a target style (e.g., formal) while keeping its original meaning. Despite the success existing works have achieved …...
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
AbstractThis paper shows that standard assessment methodology for style transfer has several significant problems. First, the standard metrics for style accuracy and semantics preservation vary significantly on different re-runs. Therefore …...
Unsupervised Aspect-Level Sentiment Controllable Style Transfer
AbstractUnsupervised style transfer in text has previously been explored through the sentiment transfer task. The task entails inverting the overall sentiment polarity in a given input sentence, while preserving its …...
Unsupervised Text Style Transfer with Padded Masked Language Models
AbstractWe propose Masker, an unsupervised text-editing method for style transfer. To tackle cases when no parallel source–target pairs are available, we train masked language models (MLMs) for both the source …...
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
AbstractStyle transfer is the task of rewriting a sentence into a target style while approximately preserving content. While most prior literature assumes access to a large style-labelled corpus, recent work …...
Inducing Positive Perspectives with Text Reframing
AbstractSentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text. With a sentiment reversal comes also …...