Quick Estimate of Information Decomposition for Text Style Transfer

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.