Deep learning for detecting cyberbullying across multiple social media platforms, ECIR, pp.141-153, 2018. ,
Overwhelmed by Negative Emotions?, Maybe You Are Being Cyber-bullied! In Proceedings of the 34th ACM/SIGAPP Symposium On Applied Computing (SAC), 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02020829
SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter, Proceedings of the 13th International Workshop on Semantic Evaluation, pp.54-63, 2019. ,
Overview of the EVALITA 2018 hate speech detection task, Proceedings of, 2018. ,
Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets, Proceedings of IberEval 2018, pp.74-96, 2018. ,
, , 2020.
, Using Multi-channel BERT for Multilingual Offensive Language Detection, Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2020), vol.12
Crosslingual language model pretraining, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems, pp.7057-7067, 2019. ,
Comparing different supervised approaches to hate speech detection, Proceedings of the Sixth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2018) co-located with the Fifth Italian Conference on Computational Linguistics, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01920266
A multilingual evaluation for online hate speech detection, ACM Transactions on Internet Technology (TOIT), vol.20, issue.2, pp.1-22, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02972184
BERT: Pre-training of deep bidirectional transformers for language understanding, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol.1, pp.4171-4186, 2019. ,
Zeerak Waseem, and Jacqueline Wernimont, editors, Proceedings of the 2nd Workshop on Abusive Language Online (ALW2). Association for Computational Linguistics, 2018. ,
A survey on automatic detection of hate speech in text, ACM Comput. Surv, vol.51, issue.4, 2018. ,
Large scale crowdsourcing and characterization of twitter abusive behavior, ICWSM, pp.491-500, 2018. ,
Moses: Open source toolkit for statistical machine translation, ACL: demo and poster, pp.177-180, 2007. ,
Comparative studies of detecting abusive language on twitter, 2018. ,
Roberta: A robustly optimized BERT pretraining approach, 2019. ,
Learning from the ubiquitous language: An empirical analysis of emoji usage of smartphone users, UbiComp, pp.770-780, 2016. ,
Abusive language detection in online user content, WWW, pp.145-153, 2016. ,
Multilingual and multi-aspect hate speech analysis, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp.4667-4676, 2019. ,
Cross-domain and cross-lingual abusive language detection: A hybrid approach with deep learning and a multilingual lexicon, Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, vol.2, pp.363-370, 2019. ,
One-step and twostep classification for abusive language detection on twitter, Workshop on Abusive Language Online, pp.41-45, 2017. ,
Scikit-learn: Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Vinodkumar Prabhakaran, and Zeerak Waseem, Proceedings of the Third Workshop on Abusive Language Online. Association for Computational Linguistics, 2019. ,
A german twitter snapshot, Proceedings of Language Resources and Evaluation Conference (LREC), 2014. ,
A survey on hate speech detection using natural language processing, Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, pp.1-10, 2017. ,
Neural machine translation of rare words with subword units, ACL, 2016. ,
MC-BERT4HATE: hate speech detection using multichannel BERT for different languages and translations, 2019 International Conference on Data Mining Workshops, ICDM Workshops, pp.551-559, 2019. ,
Cross-lingual zero-and few-shot hate speech detection utilising frozen transformer language models and AXEL. CoRR, abs, 2004. ,
, Cloze Procedure: A New Tool for Measuring Readability, vol.30, pp.415-433, 1953.
, Proceedings of the First Workshop on Abusive Language Online. Association for Computational Linguistics
Hateful symbols or hateful people? predictive features for hate speech detection on twitter, SRW@HLT-NAACL, 2016. ,
Detection of Abusive Language: the Problem of Biased Datasets, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol.1, pp.602-608, 2019. ,
Overview of the germeval 2018 shared task on the identification of offensive language, GermEval, 2018. ,
Ex machina: Personal attacks seen at scale, Proceedings of WWW Conference, pp.1391-1399, 2017. ,
Detection of harassment on web 2.0. In Proceedings of the Content Analysis in the Web, pp.1-7, 2009. ,
Predicting the type and target of offensive posts in social media, Proceedings of NAACL-HLT, 2019. ,
Semeval-2019 task 6: Identifying and categorizing offensive language in social media (offenseval), Proceedings of the 13th International Workshop on Semantic Evaluation, pp.75-86, 2019. ,
Zeses Pitenis, and Ç agr? Çöltekin. 2020. SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (Offen-sEval 2020), Proceedings of SemEval ,
Detecting hate speech on twitter using a convolution-gru based deep neural network, ESWC, pp.745-760, 2018. ,