Lin, Fuqiang
Song, Yiping
Tian, Zhiliang
Chen, Wangqun
Dong, Diwen
Liu, Bo
Article History
Received: 4 March 2022
Revised: 21 June 2022
Accepted: 23 September 2022
First Online: 26 March 2024
Ethical considerations
: Our work focuses on TST, which controls the stylistic properties of generated text while retaining content semantics. Such methods have a broad impact in the field of controllable natural language generation [40] and can provide strong support for potential real-world applications, e.g., stylized response generation [41], stylistic summarization [3], text simplification [4], and offensive language transfer [42, 43]. Nonetheless, as with all TST methods, our method can also potentially be used maliciously with concealed intentions, including possible content manipulation and forgery issues, e.g., fake review generation. For this reason, we restrict the proposed method to academic use only, and it must be coupled with strict misrepresentation, offensiveness, and bias checks. Furthermore, with increasing attention to shared ethical issues in text generation models, we encourage future studies to address such cases.