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Fluency Matters! Controllable Style Transfer with Syntax Guidance
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Publication Year
2023-01-01
Journal
Proceedings of the Annual Meeting of the Association for Computational Linguistics
Publisher
Association for Computational Linguistics (ACL)
Citation
Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp.162-171
Mesh Keyword
Robust performanceSyntactic informationSyntax parsingTransfer method
All Science Classification Codes (ASJC)
Computer Science ApplicationsLinguistics and LanguageLanguage and Linguistics
Abstract
Unsupervised text style transfer is a challenging task that aims to alter the stylistic attributes of a given text without affecting its original content. One of the methods to achieve this is controllable style transfer, which allows for the control of the degree of style transfer. However, an issue encountered with controllable style transfer is the instability of transferred text fluency when the degree of the style transfer changes. To address this problem, we propose a novel approach that incorporates additional syntax parsing information during style transfer. By leveraging the syntactic information, our model is guided to generate natural sentences that effectively reflect the desired style while maintaining fluency. Experimental results show that our method achieves robust performance and improved fluency compared to previous controllable style transfer methods.
ISSN
0736-587X
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/37009
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174814928&origin=inward
DOI
https://doi.org/2-s2.0-85174814928
Journal URL
https://aclweb.org/
Type
Conference
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2022R1A2C1007434), and also by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2023-2018-0-01431) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
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Sohn, Kyung-Ah Image
Sohn, Kyung-Ah손경아
Department of Software and Computer Engineering
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