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SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter.

, , , , , , , and . SemEval@NAACL-HLT, page 54-63. Association for Computational Linguistics, (2019)

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Measuring Harmful Representations in Scandinavian Language Models., and . CoRR, (2022)TWINE: A real-time system for TWeet analysis via INformation Extraction., , , , , and . EACL (Software Demonstrations), page 25-28. Association for Computational Linguistics, (2017)UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets., , , , , , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale., , , , , , , , , and . FAccT, page 1493-1504. ACM, (2023)A Latent Representation Model for Sentiment Analysis in Heterogeneous Social Networks., , , , and . SEFM Workshops, volume 8938 of Lecture Notes in Computer Science, page 201-213. Springer, (2014)Special Issue NL4AI 2022: Workshop on natural language for artificial intelligence., , and . Intelligenza Artificiale, 17 (2): 159-161 (2023)The State of Profanity Obfuscation in Natural Language Processing., and . CoRR, (2022)Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization., , , and . CoRR, (2023)Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models., , , , and . CoRR, (2022)Unintended Bias in Misogyny Detection., , and . WI, page 149-155. ACM, (2019)