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 …

Transductive learning for unsupervised text style transfer

F **ao, L Pang, Y Lan, Y Wang, H Shen… - arxiv preprint arxiv …, 2021 - arxiv.org
Unsupervised style transfer models are mainly based on an inductive learning approach,
which represents the style as embeddings, decoder parameters, or discriminator parameters …

A call for standardization and validation of text style transfer evaluation

P Ostheimer, M Nagda, M Kloft, S Fellenz - arxiv preprint arxiv …, 2023 - arxiv.org
Text Style Transfer (TST) evaluation is, in practice, inconsistent. Therefore, we conduct a
meta-analysis on human and automated TST evaluation and experimentation that …