/text_style_transfer_paperlist

PAPER LIST text style transfer

Author, Title, Conference, Date

Disentanglement

  1. Shen, T., Lei, T., Barzilay, R., & Jaakkola, T. Style Transfer from Non-Parallel Text by Cross-Alignment. NIPS 2017. pdf

    Baseline, LSTM, Multiple discriminator

  2. Fu, Zhenxin, et al. Style transfer in text: Exploration and evaluation. AAAI 2018. pdf

    GRU, Multiple decoder

  3. Li, J., Jia, R., He, H., & Liang, P. Delete, retrieve, generate: A simple approach to sentiment and style transfer. NAACL 2018. pdf

    RNN, Attribute marker

  4. Prabhumoye, S., Tsvetkov, Y., Salakhutdinov, R., & Black, A. W. Style transfer through back-translation. ACL 2018. pdf

    Cycle consistency, Machine translation

  5. John, V., Mou, L., Bahuleyan, H., & Vechtomova, O. Disentangled representation learning for non-parallel text style transfer. ACL 2019. pdf

    GRU, Content-oriented loss (Distribution of content)

  6. Sudhakar, A., Upadhyay, B., & Maheswaran, A. Transforming delete, retrieve, generate approach for controlled text style transfer. EMNLP 2019. pdf

    Pretrained-BERT, Attribute marker

Not using disentanglement

  1. Dai, N., Liang, J., Qiu, X., & Huang, X. Style transformer: Unpaired text style transfer without disentangled latent representation. ACL 2019.pdf

    Transformer, back-translation loss (cycle loss)

  2. Wang, K., Hua, H., & Wan, X. Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation. NIPS 2019.pdf

TO DO

  • Unsupervised Text Style Transfer using Language Models as Discriminators pdf