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What is wrong with style transfer for texts?

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arxiv 1808.04365 v1 pith:U23AJINO submitted 2018-08-13 cs.CL cs.AI

Alexey Tikhonov , Ivan P. Yamshchikov This is my paper · ORCID
classification cs.CLcs.AI
keywords differentstyletasktextstransferaddressaimsalgorithms
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A number of recent machine learning papers work with an automated style transfer for texts and, counter to intuition, demonstrate that there is no consensus formulation of this NLP task. Different researchers propose different algorithms, datasets and target metrics to address it. This short opinion paper aims to discuss possible formalization of this NLP task in anticipation of a further growing interest to it.

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  1. Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites

    cs.CL 2019-08 conditional novelty 6.0 of 10

    The authors show that standard text style-transfer metrics are unstable and manipulable, recommend BLEU against human rewrites as an additional benchmark, and report three architectures that improve on that metric.

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