README.md

metadata

license: cc-by-nc-sa-4.0
language:
  - es
pretty_name: OffendES_SPANS

Dataset Description

Paper: SHARE: A Lexicon of Harmful Expressions by Spanish Speakers

Point of Contact: [email protected], [email protected]

OffendES_spans is an Spanish corpus created in the spirit of the original OffendES dataset, but including offensive spans automatically labeled using the SHARE lexicon resource of offensive terms and expressions. The corpora consist of 11,035 comments are annotated with offensive spans.

Source Data

Telegram

Licensing Information

OffendES_spans is released under the Apache-2.0 License.

Citation Information

@inproceedings{plaza-del-arco-etal-2022-share,
    title = "{SHARE}: A Lexicon of Harmful Expressions by {S}panish Speakers",
    author = "Plaza-del-Arco, Flor Miriam  and
      Parras Portillo, Ana Bel{\'e}n  and
      L{\'o}pez {\'U}beda, Pilar  and
      Gil, Beatriz  and
      Mart{\'\i}n-Valdivia, Mar{\'\i}a-Teresa",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.139",
    pages = "1307--1316",
    abstract = "In this paper we present SHARE, a new lexical resource with 10,125 offensive terms and expressions collected from Spanish speakers. We retrieve this vocabulary using an existing chatbot developed to engage a conversation with users and collect insults via Telegram, named Fiero. This vocabulary has been manually labeled by five annotators obtaining a kappa coefficient agreement of 78.8{\%}. In addition, we leverage the lexicon to release the first corpus in Spanish for offensive span identification research named OffendES{\_}spans. Finally, we show the utility of our resource as an interpretability tool to explain why a comment may be considered offensive.",
}