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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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Exploring the association between problem drinking and language use on Facebook in young adults
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Hurtlex: A multilingual lexicon of words to hurt
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Abstract:
We describe the creation of HurtLex, a multilingual lexicon of hate words. The starting point is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 categories. It has been expanded through the link to available synset-based computational lexical resources such as MultiWordNet and BabelNet, and evolved in a multi-lingual perspective by semiautomatic translation and expert annotation. A twofold evaluation of HurtLex as a resource for hate speech detection in social media is provided: a qualitative evaluation against an Italian annotated Twitter corpus of hate against immigrants, and an extrinsic evaluation in the context of the AMI@Ibereval2018 shared task, where the resource was exploited for extracting domain-specific lexicon-based features for the supervised classification of misogyny in English and Spanish tweets.
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Keyword:
corpora; hate lexicon; hate speech detection; Italian; social media; Twitter
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URL: http://ceur-ws.org/Vol-2253/paper49.pdf http://hdl.handle.net/2318/1684807
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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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van Deemter K., Computational Models of Referring: A study in cognitive science
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In: https://hal.inria.fr/hal-01533025 ; 2017, ⟨10.1017/langcog.2017.8⟩ (2017)
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Semantic Web-Mining and Deep Vision for Lifelong Object Discovery
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In: IEEE International Conference on Robotics and Automation (ICRA) ; https://hal.inria.fr/hal-01524902 ; IEEE International Conference on Robotics and Automation (ICRA), May 2017, Singapore, Singapore (2017)
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KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language
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In: Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference ; https://hal.inria.fr/hal-01389390 ; Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands (2016)
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A Repository of Frame Instance Lexicalizations for Generation
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In: Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web ; https://hal.inria.fr/hal-01389398 ; Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web, Sep 2016, Edinburgh, United Kingdom (2016)
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