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HateBERT: Retraining BERT for Abusive Language Detection in English ...
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03102480 ; 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (Online), Spain. pp.1346-1358 ; https://www.aclweb.org/anthology/2020.coling-main.116/ (2020)
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Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
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In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol 8 No 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
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Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
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In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 8 No. 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020)
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Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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Multilingual Irony Detection with Dependency Syntax and Neural Models ...
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HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language
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EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform
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“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
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Capozzi, Arthur; Lai, Mirko; Basile, Valerio; Poletto, Fabio; Sanguinetti, Manuela; Bosco, Cristina; Patti, Viviana; Ruffo, Giancarlo; Musto, Cataldo; Polignano, Marco; Semeraro, Giovanni; Stranisci, Marco. - 2020
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Abstract:
The paper describes the Web platform built within the project “Contro l’Odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate speech detection and data visualization tools on data drawn from Twitter. It allows users to access a huge amount of information through interactive maps, also tuning their view, e.g. visualizing the most viral tweets and interactively reducing the inherent complexity of data. Educational courses for high school students have been developed which are centered on the platform and focused on the deconstruction of negative stereotypes against immigrants, Rom and religious minorities, and on the creation of positive narratives. The data collected and analyzed by the platform are also currently used for benchmarking activities within an evaluation campaign, and for paving the way to new projects against hate.
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Keyword:
countering hate speech online; hate against immigrants; hate maps; hate speech detection; hate speech monitoring; social media; Twitter
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URL: https://journals.openedition.org/ijcol/659 https://doi.org/10.4000/ijcol.659 http://hdl.handle.net/2318/1784913
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Exploring the association between problem drinking and language use on Facebook in young adults
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The DipInfoUniTo Realizer at SRST’19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization
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14-ExLab@UniTo for AMI at IberEval2018: Exploiting lexical knowledge for detecting misogyny in English and Spanish tweets
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Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges
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