Conditional_Text_Generation
luca-bajardi
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.
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7 data points · 2021-07-01 → 2023-04-01How do you feel about this project?
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Question copied to clipboardWhat is the luca-bajardi/Conditional_Text_Generation GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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