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The paper describes the organisation of the "HateSpeech Detection" (HSD) task at the VLSP workshop 2019 on detecting the fine-grained presence of hate speech in Vietnamese textual items (i.e., messages) extracted from Facebook, which is the most popular social network site (SNS) in Vietnam.
2007
Earlier work this paper cites.
J.-M. Xu, K.-S. Jun, X. Zhu, and A. Bellmore, “Learning from bullying traces in social media,” in Proceedings of the 2012 conference of the North American chapter of the association for computational linguistics: Human language technologies . Association for Computational Linguistics, 2012, pp. 656–666
2012
Earlier work this paper cites.
T. Davidson, D. Warmsley, M. Macy, and I. Weber, “Automated hate speech detection and the problem of offensive language,” in Eleventh international aaai conference on web and social media , 2017
2017
Earlier work this paper cites.
M. Wiegand, M. Siegel, and J. Ruppenhofer, “Overview of the germeval 2018 shared task on the identification of offensive language,” 2018
2018
Cited alongside, same era.
R. Kumar, A. K. Ojha, S. Malmasi, and M. Zampieri, “Benchmarking aggression identification in social media,” in Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018) . Santa Fe, New Mexico, USA: Association for Computational Linguistics, Aug. 2018, pp. 1–11
2018
Cited alongside, same era.
2018
Cited alongside, same era.
V. Basile, C. Bosco, E. Fersini, D. Nozza, V. Patti, F. M. R. Pardo, P. Rosso, and M. Sanguinetti, “Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter,” in Proceedings of the 13th International Workshop on Semantic Evaluation , 2019, pp. 54–63
2019
Later among the works it cites.
X.-S. Vu, T. Vu, S. N. Tran, and L. Jiang, “Etnlp: A visual-aided systematic approach to select pre-trained embeddings for a downstream task,” in Proceedings of the International Conference Recent Advances in Natural Language Processing (RANLP) , 2019
2019
Later among the works it cites.
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