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Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?, , , , , и . (2023)Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?, , , , , и . CoRR, (2023)A Neuro-symbolic Approach to Argument Comparison in Structured Argumentation., , , , , и . AI³@AI*IA, том 3546 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)High-quality argumentative information in low resources approaches improve counter-narrative generation., , , , , и . EMNLP (Findings), стр. 2942-2956. Association for Computational Linguistics, (2023)Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation., , , , , , и . CoRR, (2024)Parsimonious Argument Annotations for Hate Speech Counter-narratives., , , , , , и . CoRR, (2022)A Spanish dataset for Targeted Sentiment Analysis of political headlines., , , , и . CoRR, (2022)RoBERTuito: a pre-trained language model for social media text in Spanish., , , и . LREC, стр. 7235-7243. European Language Resources Association, (2022)An Initial Exploration of How Argumentative Information Impacts Automatic Generation of Counter-Narratives Against Hate Speech., , , , , и . Arg&App@KR, том 3472 из CEUR Workshop Proceedings, стр. 26-39. CEUR-WS.org, (2023)You can simply rely on communities for a robust characterization of stances., , , , и . FLAIRS, Florida Online Journals, (2021)