Abstract
In this paper we present the legal framework, dataset and annotation schema of socially unacceptable discourse practices on social networking platforms in Slovenia. On this basis we aim to train an automatic identification and classification system with which we wish contribute towards an improved methodology, understanding and treatment of such practices in the contemporary, increasingly multicultural information society.- Anthology ID:
- W17-3007
- Volume:
- Proceedings of the First Workshop on Abusive Language Online
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, BC, Canada
- Editors:
- Zeerak Waseem, Wendy Hui Kyong Chung, Dirk Hovy, Joel Tetreault
- Venue:
- ALW
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 46–51
- Language:
- URL:
- https://aclanthology.org/W17-3007
- DOI:
- 10.18653/v1/W17-3007
- Cite (ACL):
- Darja Fišer, Tomaž Erjavec, and Nikola Ljubešić. 2017. Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene. In Proceedings of the First Workshop on Abusive Language Online, pages 46–51, Vancouver, BC, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Legal Framework, Dataset and Annotation Schema for Socially Unacceptable Online Discourse Practices in Slovene (Fišer et al., ALW 2017)
- PDF:
- https://preview.aclanthology.org/naacl24-info/W17-3007.pdf