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    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • Created almost 4 years ago
  • Updated over 3 years ago

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Repository Details

The main problem of conditional text generation is that it is mainly based on the content of an input set of examples: this leads to little diversification of the generated text. To overcome this shortcoming, we have fine tuned CTRL using three different datasets. The first model has been used as a baseline for comparison, while the other two have been used to obtain more formal and informal text. The BART model has been employed for text classification to gauge formality.