Fetching the paper…
Reading the bibliography…
Missing sentence generation (or sentence infilling) fosters a wide range of applications in natural language generation, such as document auto-completion and meeting note expansion.
Wanrong Zhu, Zhiting Hu, and Eric Xing. 2019 · 1901
Earlier work this paper cites.
Consistent dialogue generation with self-supervised feature learning
Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, and Bill Dolan. 2019 · 1903
Earlier work this paper cites.
CTRL: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
Earlier work this paper cites.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
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. 2019 · 1910
Earlier work this paper cites.
XL-Editor: Post-editing sentences with XLNet
Yong-Siang Shih, Wei-Cheng Chang, and Yiming Yang. 2019 · 1910
Earlier work this paper cites.
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
George Doddington. 2002 · 2002
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Tianxiao Shen, Victor Quach, Regina Barzilay, and Tommi Jaakkola. 2020 · 2002
Earlier work this paper cites.
Using TF-IDF to determine word relevance in document queries
Juan Ramos. 2003 · 2003
Earlier work this paper cites.
Optimus: Organizing sentences via pre-trained modeling of a latent space
Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, and Jianfeng Gao. 2020 · 2004
Earlier work this paper cites.
Contextual text style transfer
Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, and Jingjing Liu. 2020 · 2005
Earlier work this paper cites.
METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments
Alon Lavie and Abhaya Agarwal. 2007 · 2007
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. 2008 · 2008
Earlier work this paper cites.
Natural Language Processing with Python
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
Earlier work this paper cites.
Latent aspect rating analysis on review text data: A rating regression approach
Hongning Wang, Yue Lu, and Chengxiang Zhai. 2010 · 2010
Earlier work this paper cites.
Context dependent recurrent neural network language model
Tomas Mikolov and Geoffrey Zweig. 2012 · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P. Kingma and Max Welling. 2014 · 2014
Earlier work this paper cites.
A hierarchical neural autoencoder for paragraphs and documents
Jiwei Li, Thang Luong, and Dan Jurafsky. 2015 · 2015
Cited alongside, same era.
A neural network approach to context-sensitive generation of conversational responses
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015b · 2015
Cited alongside, same era.
Oriol Vinyals and Quoc V. Le. 2015 · 2015
Cited alongside, same era.
Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking
Tsung-Hsien Wen, Milica Gašić, Dongho Kim, Nikola Mrkšić, Pei-Hao Su, David Vandyke, and Steve Young. 2015 · 2015
Cited alongside, same era.
Sequence-level knowledge distillation
Yoon Kim and Alexander M. Rush. 2016 · 2016
Cited alongside, same era.
Unsupervised hierarchical story infilling
Daphne Ippolito, David Grangier, Chris Callison-Burch, and Douglas Eck. 2019 · 2019
Closest in time.
Linguistic versus latent relations for modeling coherent flow in paragraphs
Dongyeop Kang and Eduard Hovy. 2019 · 2019
Closest in time.
Large memory layers with product keys
Guillaume Lample, Alexandre Sablayrolles, Marc’Aurelio Ranzato, Ludovic Denoyer, and Herve Jegou. 2019 · 2019
Closest in time.
TIGS: An inference algorithm for text infilling with gradient search
Dayiheng Liu, Jie Fu, Pengfei Liu, and Jiancheng Lv. 2019 · 2019
Closest in time.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Closest in time.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Cited alongside, same era.
Context-aware natural language generation with recurrent neural networks
Jian Tang, Yifan Yang, Sam Carton, Ming Zhang, and Qiaozhu Mei. 2016 · 2016
Cited alongside, same era.
Larger-context language modelling with recurrent neural network
Tian Wang and Kyunghyun Cho. 2016 · 2016
Cited alongside, same era.
Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Cited alongside, same era.
A context-aware convolutional natural language generation model for dialogue systems
Sourab Mangrulkar, Suhani Shrivastava, Veena Thenkanidiyoor, and Dileep Aroor Dinesh. 2018 · 2018
Cited alongside, same era.
MASS: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
Closest in time.
Context-aware monolingual repair for neural machine translation
Elena Voita, Rico Sennrich, and Ivan Titov. 2019 · 2019
Closest in time.
XLNet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
Closest in time.
Abductive commonsense reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, and Yejin Choi. 2020 · 2020
Closest in time.
Enabling language models to fill in the blanks
Chris Donahue, Mina Lee, and Percy Liang. 2020 · 2020
Closest in time.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Closest in time.
What makes a good story? Designing composite rewards for visual storytelling
Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, and Graham Neubig. 2020 · 2020
Closest in time.
Toward better storylines with sentence-level language models
Daphne Ippolito, David Grangier, Douglas Eck, and Chris Callison-Burch. 2020 · 2020
Closest in time.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Closest in time.
DialoGPT: Large-scale generative pre-training for conversational response generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, and Bill Dolan. 2020 · 2020
Closest in time.
Towards generating long and coherent text with multi-level latent variable models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, and Lawrence Carin. 2019 · 2089
Closest in time.