Archaeology

Work (physics)

Pure mathematics

Machine translation

Madam

Mathematics

History

Engineering

Philosophy

Parallel computing

Artificial intelligence

Systems engineering

Style (visual arts)

Natural language processing

Transfer (computing)

Formality

Computer science

Linguistics

Task (project management)

Field (mathematics)

Mechanical engineering

Style transfer is the task of automatically transforming a piece of text in one particular style into another. A major barrier to progress in this field has been a lack of training and evaluation datasets, as well as benchmarks and automatic metrics. In this work, we create the largest corpus for a particular stylistic transfer (formality) and show that techniques from the machine translation community can serve as strong baselines for future work. We also discuss challenges of using automatic metrics.

Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer