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Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study ...
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Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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Abstract:
Tackling online hatred using informed textual responses - called counter narratives - has been brought under the spotlight recently. Accordingly, a research line has emerged to automatically generate counter narratives in order to facilitate the direct intervention in the hate discussion and to prevent hate content from further spreading. Still, current neural approaches tend to produce generic/repetitive responses and lack grounded and up-to-date evidence such as facts, statistics, or examples. Moreover, these models can create plausible but not necessarily true arguments. In this paper we present the first complete knowledge-bound counter narrative generation pipeline, grounded in an external knowledge repository that can provide more informative content to fight online hatred. Together with our approach, we present a series of experiments that show its feasibility to produce suitable and informative counter narratives in in-domain and cross-domain settings. ... : To appear in "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL): Findings" ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2106.11783 https://dx.doi.org/10.48550/arxiv.2106.11783
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Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech ...
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Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement ...
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Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech ...
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Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts
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In: COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020) ; https://hal.inria.fr/hal-03031812 ; COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020), Dec 2020, Barcelona / Online, Spain (2020)
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DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques ...
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A Generative-Discriminative Framework for Title Generation in the E-commerce Domain
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Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines ...
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Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality ...
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Echoes of Persuasion: The Effect of Euphony in Persuasive Communication ...
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SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis ...
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DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News ...
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Do Linguistic Style and Readability of Scientific Abstracts Affect their Virality?
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 6 No. 1 (2012): Sixth International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2012)
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Do Linguistic Style and Readability of Scientific Abstracts affect their Virality? ...
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