Fetching the paper…
Reading the bibliography…
Text revision refers to a family of natural language generation tasks, where the source and target sequences share moderate resemblance in surface form but differentiate in attributes, such as text formality and simplicity.
Formality Style Transfer with Hybrid Textual Annotations
Xu, R.; Ge, T.; and Wei, F. 2019 · 1903
Earlier work this paper cites.
BERTScore: Evaluating Text Generation with BERT
Zhang, T.; Kishore, V.; Wu, F.; Weinberger, K. Q.; and Artzi, Y. 2019 · 1904
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
Earlier work this paper cites.
Improving Question Generation With to the Point Context
Li, J.; Gao, Y.; Bing, L.; King, I.; and Lyu, M. R. 2019 · 1910
Earlier work this paper cites.
Plug and play language models: A simple approach to controlled text generation
Dathathri, S.; Madotto, A.; Lan, J.; Hung, J.; Frank, E.; Molino, P.; Yosinski, J.; and Liu, R. 2019 · 1912
Earlier work this paper cites.
Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
Kincaid, J. P.; Fishburne Jr, R. P.; Rogers, R. L.; and Chissom, B. S. 1975 · 1975
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Papineni, K.; Roukos, S.; Ward, T.; and Zhu, W.-J. 2002 · 2002
Earlier work this paper cites.
Neural CRF Model for Sentence Alignment in Text Simplification
Jiang, C.; Maddela, M.; Lan, W.; Zhong, Y.; and Xu, W. 2020 · 2005
Earlier work this paper cites.
CoCon: A self-supervised approach for controlled text generation
Chan, A.; Ong, Y.-S.; Pung, B.; Zhang, A.; and Fu, J. 2020 · 2006
Earlier work this paper cites.
Unsupervised Text Generation by Learning from Search
Li, J.; Li, Z.; Mou, L.; Jiang, X.; Lyu, M. R.; and King, I. 2020 · 2007
Earlier work this paper cites.
The Adapter-Bot: All-In-One Controllable Conversational Model
Madotto, A.; Lin, Z.; Bang, Y.; and Fung, P. 2020 · 2008
Earlier work this paper cites.
Discern: Discourse-aware entailment reasoning network for conversational machine reading
Gao, Y.; Wu, C.-S.; Li, J.; Joty, S.; Hoi, S. C.; Xiong, C.; King, I.; and Lyu, M. R. 2020 · 2010
Earlier work this paper cites.
Controllable Text Simplification with Explicit Paraphrasing
Maddela, M.; Alva-Manchego, F.; and Xu, W. 2020 · 2010
Earlier work this paper cites.
Hybrid simplification using deep semantics and machine translation
Narayan, S.; and Gardent, C. 2014 · 2014
Earlier work this paper cites.
Problems in current text simplification research: New data can help
Xu, W.; Callison-Burch, C.; and Napoles, C. 2015 · 2015
Earlier work this paper cites.
Generating Sentences from a Continuous Space
Bowman, S.; Vilnis, L.; Vinyals, O.; Dai, A.; Jozefowicz, R.; and Bengio, S. 2016 · 2016
Earlier work this paper cites.
Optimizing statistical machine translation for text simplification
Xu, W.; Napoles, C.; Pavlick, E.; Chen, Q.; and Callison-Burch, C. 2016 · 2016
Earlier work this paper cites.
Learning how to simplify from explicit labeling of complex-simplified text pairs
Alva-Manchego, F.; Bingel, J.; Paetzold, G.; Scarton, C.; and Specia, L. 2017 · 2017
Earlier work this paper cites.
Automatic text simplification
Saggion, H. 2017 · 2017
Cited alongside, same era.
Style transfer from non-parallel text by cross-alignment
Shen, T.; Lei, T.; Barzilay, R.; and Jaakkola, T. 2017 · 2017
Cited alongside, same era.
Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
Yu, L.; Zhang, W.; Wang, J.; and Yu, Y. 2017 · 2017
Cited alongside, same era.
Sentence Simplification with Deep Reinforcement Learning
Zhang, X.; and Lapata, M. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Encode, Tag, Realize: High-Precision Text Editing
Malmi, E.; Krause, S.; Rothe, S.; Mirylenka, D.; and Severyn, A. 2019 · 2019
Later among the works it cites.
Cgmh: Constrained sentence generation by metropolis-hastings sampling
Miao, N.; Zhou, H.; Mou, L.; Yan, R.; and Li, L. 2019 · 2019
Later among the works it cites.
Transforming Complex Sentences into a Semantic Hierarchy
Niklaus, C.; Cetto, M.; Freitas, A.; and Handschuh, S. 2019 · 2019
Later among the works it cites.
BERT Rediscovers the Classical NLP Pipeline
Tenney, I.; Das, D.; and Pavlick, E. 2019 · 2019
Later among the works it cites.
Universal Adversarial Triggers for Attacking and Analyzing NLP
Wallace, E.; Feng, S.; Kandpal, N.; Gardner, M.; and Singh, S. 2019 · 2019
Later among the works it cites.
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Zmigrod, R.; Mielke, S. J.; Wallach, H.; and Cotterell, R. 2019 · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
dos Santos, C.; Melnyk, I.; and Padhi, I. 2018 · 2018
Cited alongside, same era.
Style transfer in text: Exploration and evaluation
Fu, Z.; Tan, X.; Peng, N.; Zhao, D.; and Yan, R. 2018 · 2018
Cited alongside, same era.
Delete, retrieve, generate: A simple approach to sentiment and style transfer
Li, J.; Jia, R.; He, H.; and Liang, P. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
Rao, S.; and Tetreault, J. R. 2018 · 2018
Cited alongside, same era.
Unsupervised neural text simplification
Surya, S.; Mishra, A.; Laha, A.; Jain, P.; and Sankaranarayanan, K. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Iterative Edit-Based Unsupervised Sentence Simplification
Kumar, D.; Mou, L.; Golab, L.; and Vechtomova, O. 2020 · 2020
Later among the works it cites.
Unsupervised Paraphrasing by Simulated Annealing
Liu, X.; Mou, L.; Meng, F.; Zhou, H.; Zhou, J.; and Song, S. 2020 · 2020
Later among the works it cites.
Unsupervised Text Style Transfer with Masked Language Models
Malmi, E.; Severyn, A.; and Rothe, S. 2020 · 2020
Later among the works it cites.
Leveraging pre-trained checkpoints for sequence generation tasks
Rothe, S.; Narayan, S.; and Severyn, A. 2020 · 2020
Later among the works it cites.
Unsupervised paraphrasing via deep reinforcement learning
Siddique, A.; Oymak, S.; and Hristidis, V. 2020 · 2020
Later among the works it cites.
Learning to summarize from human feedback
Stiennon, N.; Ouyang, L.; Wu, J.; Ziegler, D. M.; Lowe, R.; Voss, C.; Radford, A.; Amodei, D.; and Christiano, P. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-Art Natural Language Processing
Wolf, T.; Debut, L.; Sanh, V.; Chaumond, J.; Delangue, C.; Moi, A.; Cistac, P.; Rault, T.; Louf, R.; Funtowicz, M.; Davison, J.; Shleifer, S.; von Platen, P.; Ma, C.; Jernite, Y.; Plu, J.; Xu, C.; Scao, T. L.; Gugger, S.; Drame, M.; Lhoest, Q.; and Rush, A. M. 2020 · 2020
Later among the works it cites.
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Wu, Z.; Chen, Y.; Kao, B.; and Liu, Q. 2020 · 2020
Later among the works it cites.
ENTRUST: Argument Reframing with Language Models and Entailment
Chakrabarty, T.; Hidey, C.; and Muresan, S. 2021 · 2021
Later among the works it cites.
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
Reid, M.; and Zhong, V. 2021 · 2021
Later among the works it cites.
Sun, X.; Ge, T.; Ma, S.; Li, J.; Wei, F.; and Wang, H. 2022 · 2022
Closest in time.