/xtremespeech

Code and data for our ACL 2022 Findings paper, "Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments"

Primary LanguagePython

xtremespeech

Code and data for our ACL 2022 Findings paper, "Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments" (preprint).

To receive the data, please reach out to us via antmarakis at cis.lmu.de

If you use/build on our work, please consider citing us:

@inproceedings{maronikolakis-etal-2022-xtremespeech,
    title = "Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments",
    author = {Maronikolakis, Antonis  and
      Wisiorek, Axel  and
      Nann, Leah and
      Jabbar, Haris and
      Udupa, Sahana and
      Sch{\"u}tze, Hinrich},
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
}