Tackling Hate Speech in Low-resource Languages with Context Experts

Nkemelu, Daniel; Shah, Harshil; Best, Michael L.; Essa, Irfan

doi:10.1145/3572334.3572372

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…Detecting abusive language in low-resource settings can be challenging due to the limited availability of labeled data and resources for training robust models capable of distinguishing between abusive and non-abusive content (Aluru et al, 2021;Bigoulaeva et al, 2021a). However, different strategies can be employed to address this issue, including multilingual model, active learning, and data augmentation (Nkemelu et al, 2022). Multilingual models are useful in transferring knowledge between languages with varying levels of prevalence (Ali et al, 2022;Ranasinghe and Zampieri, 2021).…”

Section: Abusive Language Detection In Low-resource Settingsmentioning

confidence: 99%

On the Keyword Extraction and Bias Analysis, Graph-based Exploration and Data Augmentation for Abusive Language Detection in Low-Resource Settings

Peña Sarracén

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Many thanks go to my colleagues and fellow researchers at the Universitat Politècnica de València, whose collaboration and support have been both enjoyable and intellectually enriching. The synergy between academia and industry fostered by Symanto has been instrumental in achieving the objectives of this thesis.I extend my appreciation to the reviewers of this thesis Dr. Arkaitz Zubiaga (Queen Mary University of London), Prof. Rafael Valencia (Universidad de Murcia), and Dr. Tommaso Caselli (Rijksuniveristeit Groningen); thank you very much for your work on my thesis. I would also like to thank the members of the PhD committee of this thesis Dr. Arkaitz Zubiaga (Queen Mary University of London), Dra. Sara Tonelli (Fondazione Bruno Kessler), and Dra. Aitziber Atutxa (University of the Basque Country).Special thanks go to my family for their tireless encouragement and understanding. Their love and support have been my pillars throughout this challenging yet rewarding endeavor. Also to the friends who have taken an interest in my emotional and physical well-being during my doctoral research.Last but not least, I would like to thank all the participants and individuals who generously contributed their time. I am truly grateful.

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