Conditional_Text_Generation

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.

How to download and setup Conditional_Text_Generation

Open terminal and run command

git clone https://github.com/luca-bajardi/Conditional_Text_Generation.git

git clone is used to create a copy or clone of Conditional_Text_Generation repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Conditional_Text_Generation https://github.com/luca-bajardi/Conditional_Text_Generation/archive/master.zip

Or simply clone Conditional_Text_Generation with SSH

[email protected]:luca-bajardi/Conditional_Text_Generation.git

If you have some problems with Conditional_Text_Generation

You may open issue on Conditional_Text_Generation support forum (system) here: https://github.com/luca-bajardi/Conditional_Text_Generation/issues

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