DeepBT and NLP Data Augmentation Techniques: A New Proposal and a Comprehensive Study

Author:

Maier Ferreira TaynanORCID,Reali Costa Anna HelenaORCID

Publisher

Springer International Publishing

Reference30 articles.

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2. Basile, V., et al.: 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, pp. 54–63. Association for Computational Linguistics, Minneapolis, June 2019. https://doi.org/10.18653/v1/S19-2007

3. Caswell, I., Chelba, C., Grangier, D.: Tagged back-translation. In: Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), pp. 53–63. Association for Computational Linguistics, Florence, August 2019. https://doi.org/10.18653/v1/W19-5206

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5. Dao, T., Gu, A., Ratner, A., Smith, V., De Sa, C., Re, C.: A kernel theory of modern data augmentation. In: Chaudhuri, K., Salakhutdinov, R. (eds.) Proceedings of the 36th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol. 97, pp. 1528–1537. PMLR, Long Beach, 09–15 June 2019. http://proceedings.mlr.press/v97/dao19b.html

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