Cross-lingual Capsule Network for Hate Speech Detection in Social Media

• URL: http://arxiv.org/abs/2108.03089v1
• Date: Fri, 6 Aug 2021 12:53:41 GMT
• Title: Cross-lingual Capsule Network for Hate Speech Detection in Social Media
• Authors: Aiqi Jiang, Arkaitz Zubiaga
• Abstract summary: We investigate the cross-lingual hate speech detection task, tackling the problem by adapting the hate speech resources from one language to another. We propose a cross-lingual capsule network learning model coupled with extra domain-specific lexical semantics for hate speech. Our model achieves state-of-the-art performance on benchmark datasets from AMI@Evalita 2018 and AMI@Ibereval 2018.
• Score: 6.531659195805749
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Most hate speech detection research focuses on a single language, generally English, which limits their generalisability to other languages. In this paper we investigate the cross-lingual hate speech detection task, tackling the problem by adapting the hate speech resources from one language to another. We propose a cross-lingual capsule network learning model coupled with extra domain-specific lexical semantics for hate speech (CCNL-Ex). Our model achieves state-of-the-art performance on benchmark datasets from AMI@Evalita2018 and AMI@Ibereval2018 involving three languages: English, Spanish and Italian, outperforming state-of-the-art baselines on all six language pairs.

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