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This work presents our approach to train a neural network to detect hate-speech texts in Hindi and Bengali.
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Instance normalization: The missing ingredient for fast stylization
D. Ulyanov, A. Vedaldi, and V. Lempitsky · 2016
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Deep learning for hate speech detection in tweets
P. Badjatiya, S. Gupta, M. Gupta, and V. Varma · 2017
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A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
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J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in indo-european languages
T. Mandl, S. Modha, P. Majumder, D. Patel, M. Dave, C. Mandlia, and A. Patel · 2019
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3idiots at hasoc 2019: Fine-tuning transformer neural networks for hate speech identification in indo-european languages
S. Mishra and S. Mishra · 2019
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Brums at hasoc 2019: Deep learning models for multilingual hate speech and offensive language identification
T. Ranasinghe, M. Zampieri, and H. Hettiarachchi · 2019
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Hate speech detection in the bengali language: A dataset and its baseline evaluation
N. Romim, M. Ahmed, H. Talukder, and M. S. Islam · 2020
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Word2vec (2013)
G. C. Archive · 2021
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S. M. Lakew, M. Cettolo, and M. Federico · 2018
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A comparative study on transformer vs rnn in speech applications
S. Karita, N. Chen, T. Hayashi, T. Hori, H. Inaguma, Z. Jiang, M. Someki, N. E. Y. Soplin, R. Yamamoto, X. Wang, et al · 2019
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