Reproducibility Report: Contextualizing Hate Speech Classifiers with Post-hoc Explanation

Autor:	Purohit, Kiran, Iqbal, Owais, Mullick, Ankan
Rok vydání:	2021
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	The presented report evaluates Contextualizing Hate Speech Classifiers with Post-hoc Explanation paper within the scope of ML Reproducibility Challenge 2020. Our work focuses on both aspects constituting the paper: the method itself and the validity of the stated results. In the following sections, we have described the paper, related works, algorithmic frameworks, our experiments and evaluations. Comment: 10 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2105.11412 Zobrazit plný text záznamu View this record from Arxiv