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Quick Estimate of Information Decomposition for Text Style Transfer.

Viacheslav Shibaev1, Eckehard Olbrich2, Jürgen Jost2

  • 1Department of Intelligent Information Technologies, Ural Federal University, 620075 Ekaterinburg, Russia.

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Summary

This study introduces an information theory framework to evaluate text style transfer models. It offers a faster method than traditional experiments for assessing model performance.

Keywords:
information decompositionnatural language processingtext style transfer

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Area of Science:

  • Natural Language Processing
  • Computational Linguistics
  • Information Theory

Background:

  • Text style transfer research increasingly uses information decomposition methods.
  • Current performance evaluation relies on time-consuming empirical assessments of output quality.

Purpose of the Study:

  • To propose a novel information-theoretical framework for assessing latent information decomposition in text style transfer.
  • To provide a computationally efficient alternative to empirical evaluation methods.

Main Methods:

  • Developed an information-theoretical framework to quantify the quality of information decomposition.
  • Applied the framework to evaluate several state-of-the-art text style transfer models.

Main Results:

  • The proposed framework provides accurate estimates of information decomposition quality.
  • These estimates correlate well with traditional empirical performance measures.

Conclusions:

  • The information-theoretical framework serves as a rapid and reliable health check for text style transfer models.
  • This approach significantly reduces the need for extensive and laborious empirical experimentation.