Text style transfer: A review and experimental evaluation

Z Hu, RKW Lee, CC Aggarwal, A Zhang - ACM SIGKDD Explorations …, 2022 - dl.acm.org
The stylistic properties of text have intrigued computational linguistics researchers in recent
years. Specifically, researchers have investigated the text style transfer task (TST), which …

A review of text style transfer using deep learning

M Toshevska, S Gievska - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Style is an integral component of a sentence indicated by the choice of words a person
makes. Different people have different ways of expressing themselves; however, they adjust …

Disentangling the properties of human evaluation methods: A classification system to support comparability, meta-evaluation and reproducibility testing

A Belz, S Mille, DM Howcroft - 2020 - doras.dcu.ie
Current standards for designing and reporting human evaluations in NLP mean it is
generally unclear which evaluations are comparable and can be expected to yield similar …

On learning text style transfer with direct rewards

Y Liu, G Neubig, J Wieting - ar** its original
content. Due to the lack of parallel data, unsupervised learning-based approaches have …

A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations

L Bacco, F Dell'Orletta, H Lai, M Merone… - Expert Systems with …, 2023 - Elsevier
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 …

Human judgement as a compass to navigate automatic metrics for formality transfer

H Lai, J Mao, A Toral, M Nissim - arxiv preprint arxiv:2204.07549, 2022 - arxiv.org
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 …

Generic resources are what you need: Style transfer tasks without task-specific parallel training data

H Lai, A Toral, M Nissim - arxiv preprint arxiv:2109.04543, 2021 - arxiv.org
Style transfer aims to rewrite a source text in a different target style while preserving its
content. We propose a novel approach to this task that leverages generic resources, and …