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        <title>Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection</title>
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        <namePart type="given">Andraž</namePart>
        <namePart type="family">Pelicon</namePart>
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        <namePart type="given">Ravi</namePart>
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    <name type="personal">
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    <name type="personal">
        <namePart type="given">Blaž</namePart>
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    <name type="personal">
        <namePart type="given">Matthew</namePart>
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    <abstract>We present a system for zero-shot cross-lingual offensive language and hate speech classification. The system was trained on English datasets and tested on a task of detecting hate speech and offensive social media content in a number of languages without any additional training. Experiments show an impressive ability of both models to generalize from English to other languages. There is however an expected gap in performance between the tested cross-lingual models and the monolingual models. The best performing model (offensive content classifier) is available online as a REST API.</abstract>
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%0 Conference Proceedings
%T Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
%A Pelicon, Andraž
%A Shekhar, Ravi
%A Martinc, Matej
%A Škrlj, Blaž
%A Purver, Matthew
%A Pollak, Senja
%Y Toivonen, Hannu
%Y Boggia, Michele
%S Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F pelicon-etal-2021-zero
%X We present a system for zero-shot cross-lingual offensive language and hate speech classification. The system was trained on English datasets and tested on a task of detecting hate speech and offensive social media content in a number of languages without any additional training. Experiments show an impressive ability of both models to generalize from English to other languages. There is however an expected gap in performance between the tested cross-lingual models and the monolingual models. The best performing model (offensive content classifier) is available online as a REST API.
%U https://aclanthology.org/2021.hackashop-1.5
%P 30-34

Markdown (Informal)

[Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection](https://aclanthology.org/2021.hackashop-1.5) (Pelicon et al., Hackashop 2021)

• Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection (Pelicon et al., Hackashop 2021)

ACL

• Andraž Pelicon, Ravi Shekhar, Matej Martinc, Blaž Škrlj, Matthew Purver, and Senja Pollak. 2021. Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. In Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pages 30–34, Online. Association for Computational Linguistics.