Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality

Author:

Jafaritazehjani Somayeh,Lecorvé Gwénolé,Lolive Damien,Kelleher John D.

Publisher

Springer Nature Switzerland

Reference31 articles.

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3. Conneau, A., Kruszewski, G., Lample, G., Barrault, L., Baroni, M.: What you can cram into a single vector: probing sentence embeddings for linguistic properties. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), vol. 1: Long Papers, pp. 2126–2136 (2018)

4. Dai, N., Liang, J., Qiu, X., Huang, X.: Style transformer: unpaired text style transfer without disentangled latent representation. CoRR abs/1905.05621 (2019). http://arxiv.org/abs/1905.05621

5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

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