In this paper, we consider mimicking fictional characters as a promising direction for building
engaging conversation models. To this end, we present a new practical task where only a …

Formality transfer seeks to adjust text formality without altering its core meaning, which
carries substantial implications across diverse domains like machine translation, dialogue …

Physicians and patients often come from different backgrounds and have varying levels of
education, which can result in communication difficulties in the healthcare process. To …

Text Style Transfer (TST) evaluation is, in practice, inconsistent. Therefore, we conduct a
meta-analysis on human and automated TST evaluation and experimentation that …

We exploit the pre-trained seq2seq model mBART for multilingual text style transfer. Using
machine translated data as well as gold aligned English sentences yields state-of-the-art …

Although text style transfer has witnessed rapid development in recent years, there is as yet
no established standard for evaluation, which is performed using several automatic metrics …

Figurative language generation is the task of reformulating a given text in the desired figure
of speech while still being faithful to the original context. We take the first step towards multi …

Unsupervised text style transfer task aims to rewrite a text into target style while preserving
its main content. Traditional methods rely on the use of a fixed-sized vector to regulate text …

It is often difficult to reliably evaluate models which generate text. Among them, text style
transfer is a particularly difficult to evaluate, because its success depends on a number of …

Different ways of linguistically expressing the same real-world event can lead to different
perceptions of what happened. Previous work has shown that different descriptions of …