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.
CITATION STYLE
Fišer, D., Ljubešić, N., & Erjavec, T. (2017). Legal framework, dataset and annotation schema for socially unacceptable online discourse practices in slovene. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 46–51). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-3007
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