Skip to content

Latest commit

 

History

History
16 lines (14 loc) · 533 Bytes

README.md

File metadata and controls

16 lines (14 loc) · 533 Bytes
Raw

Affective Text Generation

To generate the desired affective text (emotion category and intensity), use the colab notebook AffectiveTextGen.ipynb.

Citation

If you want to use our work in your research, please cite:

@misc{singh2020adapting,
      title={Adapting a Language Model for Controlled Affective Text Generation}, 
      author={Ishika Singh and Ahsan Barkati and Tushar Goswamy and Ashutosh Modi},
      year={2020},
      eprint={2011.04000},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}