Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10457045" target="_blank" >RIV/00216208:11320/22:10457045 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-16270-1_15" target="_blank" >https://doi.org/10.1007/978-3-031-16270-1_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_15" target="_blank" >10.1007/978-3-031-16270-1_15</a>
Alternative languages
Result language
angličtina
Original language name
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising
Original language description
Text sentiment transfer aims to flip the sentiment polarity of a sentence (positive to negative or vice versa) while preserving its sentiment-independent content. Although current models show good results at changing the sentiment, content preservation in transferred sentences is insufficient. In this paper, we present a sentiment transfer model based on polarity-aware denoising, which accurately controls the sentiment attributes in generated text, preserving the content to a great extent and helping to balance the style-content trade-off. Our proposed model is structured around two key stages in the sentiment transfer process: better representation learning using a shared encoder and sentiment-controlled generation using separate sentiment-specific decoders. Empirical results show that our methods outperforms state-of-the-art baselines in terms of content preservation while staying competitive in terms of style transfer accuracy and fluency. Source code, data, and all other related details are availa
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
25th International Conference on Text, Speech and Dialogue
ISBN
978-3-031-16269-5
ISSN
—
e-ISSN
—
Number of pages
15
Pages from-to
172-186
Publisher name
Springer
Place of publication
Cham, Switzerland
Event location
Brno, Czechia
Event date
Sep 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—