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Controllable Text Generation (CTG) has obtained great success due to its fine-grained generation ability obtained by focusing on multiple attributes.
Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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The measurement of observer agreement for categorical data
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Distributed representations of words and phrases and their compositionality
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Affect-lm: A neural language model for customizable affective text generation
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Dear sir or madam, may I introduce the GYAFC dataset: Corpus, benchmarks and metrics for formality style transfer
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Personalizing dialogue agents: I have a dog, do you have pets too?
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Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 2019
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Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, and Xu Sun. 2019 · 2019
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ToTTo: A controlled table-to-text generation dataset
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Exploring controllable text generation techniques
Shrimai Prabhumoye, Alan W Black, and Ruslan Salakhutdinov. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
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Megatron-cntrl: Controllable story generation with external knowledge using large-scale language models
Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Raul Puri, Pascale Fung, Animashree Anandkumar, and Bryan Catanzaro. 2020 · 2020
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Mixpoet: Diverse poetry generation via learning controllable mixed latent space
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Language models are unsupervised multitask learners
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Harnessing pre-trained neural networks with rules for formality style transfer
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A shopping guide text generation system based on deep neural network
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Pre-train and plug-in: Flexible conditional text generation with variational auto-encoders
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The pile: An 800gb dataset of diverse text for language modeling
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Controllable abstractive sentence summarization with guiding entities
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Transformer-based conditional variational autoencoder for controllable story generation
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Are we ready for a new paradigm shift? a survey on visual deep mlp
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A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
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