Decomposing Textual Information For Style Transfer
September 26, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Ivan P. Yamshchikov, Viacheslav Shibaev, Aleksander Nagaev, Jรผrgen Jost, Alexey Tikhonov
arXiv ID
1909.12928
Category
cs.CL: Computation & Language
Citations
13
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
This paper focuses on latent representations that could effectively decompose different aspects of textual information. Using a framework of style transfer for texts, we propose several empirical methods to assess information decomposition quality. We validate these methods with several state-of-the-art textual style transfer methods. Higher quality of information decomposition corresponds to higher performance in terms of bilingual evaluation understudy (BLEU) between output and human-written reformulations.
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