HumorWB

Dataset for paper

Leveraging Social Context for Humor Recognition and Sense of Humor Evaluation in Social Media with a New Chinese Humor Corpus - HumorWB

in COLING 2024

Dataset Introduction

raw data:

all_user_data.json
comment_data.json
follow_data.json
origin_weibo_data.json
retweet_data.json
retweet_weibo_data.json

train/dev/test:   #while true is selected.

weibo_data_mask.json  #humor
user_data_mask.json   #humor sense

Citation

If you find this dataset useful in your research, please consider cite:

@inproceedings{DBLP:conf/coling/ZengLYL24,
  author       = {Zeyuan Zeng and
                  Zefeng Li and
                  Liang Yang and
                  Hongfei Lin},
  editor       = {Nicoletta Calzolari and
                  Min{-}Yen Kan and
                  V{\'{e}}ronique Hoste and
                  Alessandro Lenci and
                  Sakriani Sakti and
                  Nianwen Xue},
  title        = {Leveraging Social Context for Humor Recognition and Sense of Humor
                  Evaluation in Social Media with a New Chinese Humor Corpus - HumorWB},
  booktitle    = {Proceedings of the 2024 Joint International Conference on Computational
                  Linguistics, Language Resources and Evaluation, {LREC/COLING} 2024,
                  20-25 May, 2024, Torino, Italy},
                
  pages        = {10393--10402},
  publisher    = {{ELRA} and {ICCL}},
  year         = {2024},
  url          = {https://aclanthology.org/2024.lrec-main.908},
  timestamp    = {Fri, 12 Jul 2024 19:38:34 +0200},
  biburl       = {https://dblp.org/rec/conf/coling/ZengLYL24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}