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Lexically constrained text generation aims to control the generated text by incorporating some pre-specified keywords into the output.
RoBERTa: A robustly optimized BERT pretraining approach
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Huggingface’s transformers: State-of-the-art natural language processing
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Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
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BLEU: A method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Generative adversarial nets
Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
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Bidirectional recurrent neural networks as generative models
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, and Juha T Karhunen. 2015 · 2015
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Backward and forward language modeling for constrained sentence generation
Lili Mou, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin. 2015 · 2015
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
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Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation
Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, and Zhi Jin. 2016 · 2016
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Lexically constrained decoding for sequence generation using grid beam search
Chris Hokamp and Qun Liu. 2017 · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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Levenshtein transformer
Jiatao Gu, Changhan Wang, and Jake Zhao. 2019 · 2019
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Decoupled weight decay regularization
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CGMH: Constrained sentence generation by metropolis-hastings sampling
Ning Miao, Hao Zhou, Lili Mou, Rui Yan, and Lei Li. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Insertion transformer: Flexible sequence generation via insertion operations
Mitchell Stern, William Chan, J. Kiros, and Jakob Uszkoreit. 2019 · 2019
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XLNet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
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Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
Matt Post and David Vilar. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford. 2018 · 2018
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Incorporating discriminator in sentence generation: a gibbs sampling method
Jinyue Su, Jiacheng Xu, Xipeng Qiu, and Xuanjing Huang. 2018 · 2018
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Unpaired sentiment-to-sentiment translation: A cycled reinforcement learning approach
Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, and Wenjie Li. 2018 · 2018
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Texygen: A benchmarking platform for text generation models
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BERT: Pre-training of deep bidirectional transformers for language understanding
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The curious case of neural text degeneration
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INSET: Sentence infilling with INter-SEntential transformer
Yichen Huang, Yizhe Zhang, Oussama Elachqar, and Yu Cheng. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
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CommonGen: A constrained text generation challenge for generative commonsense reasoning
Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, and Xiang Ren. 2020 · 2020
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Gradient-guided unsupervised lexically constrained text generation
Lei Sha. 2020 · 2020
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Lexically constrained neural machine translation with Levenshtein transformer
Raymond Hendy Susanto, Shamil Chollampatt, and Liling Tan. 2020 · 2020
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Show me how to revise: Improving lexically constrained sentence generation with XLNet
Xingwei He and Victor O.K. Li. 2021 · 2021
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Progressive generation of long text with pretrained language models
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