Humor Detection

Code and Datasets for the Paper "Humor Detection: A Transformer Gets the Last Laugh" by Orion Weller and Kevin Seppi

The repository contains the following:

• A way to regenerate the results found in the paper, by running bash run_bert.sh.
• The full datasets referenced in the paper (short jokes, puns, and the reddit dataset) are located in full_datasets whereas the data folder contains the split files used for training and testing. The file create_data.sh will create the splits (slightly different from the ones used in the paper - see create_data.sh).
• pytorch_pretrained_bert contains files used by the model - these files are from the huggingface repo and are NOT up to date with the current pytorch-transformers repo.

This repository is not maintained and will not be updated.

Reference:

If you found this repository helpful, please consider citing the following:

@ARTICLE{humorDetection2019,
  title={Humor Detection: A Transformer gets the Last Laugh},
  author={Weller, Orion and Seppi, Kevin},
  journal={"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing"},
  month=Nov,
  year = "2019",
}