I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language
Tommaso Caselli, Valerio Basile, Jelena Mitrović, Inga Kartoziya, Michael Granitzer
Abstract
Abusive language detection is an unsolved and challenging problem for the NLP community. Recent literature suggests various approaches to distinguish between different language phenomena (e.g., hate speech vs. cyberbullying vs. offensive language) and factors (degree of explicitness and target) that may help to classify different abusive language phenomena. There are data sets that annotate the target of abusive messages (i.e.OLID/OffensEval (Zampieri et al., 2019a)). However, there is a lack of data sets that take into account the degree of explicitness. In this paper, we propose annotation guidelines to distinguish between explicit and implicit abuse in English and apply them to OLID/OffensEval. The outcome is a newly created resource, AbuseEval v1.0, which aims to address some of the existing issues in the annotation of offensive and abusive language (e.g., explicitness of the message, presence of a target, need of context, and interaction across different phenomena).- Anthology ID:
- 2020.lrec-1.760
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 6193–6202
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.760
- DOI:
- Cite (ACL):
- Tommaso Caselli, Valerio Basile, Jelena Mitrović, Inga Kartoziya, and Michael Granitzer. 2020. I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6193–6202, Marseille, France. European Language Resources Association.
- Cite (Informal):
- I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language (Caselli et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.lrec-1.760.pdf