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Writers generally rely on plans or sketches to write long stories, but most current language models generate word by word from left to right.
Insertion-based decoding with automatically inferred generation order
Jiatao Gu, Qi Liu, and Kyunghyun Cho. 2019 · 1902
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Insertion transformer: Flexible sequence generation via insertion operations
Mitchell Stern, William Chan, Jamie Kiros, and Jakob Uszkoreit. 2019 · 1902
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Pragmatics and natural language generation
Eduard H Hovy. 1990 · 1990
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Aggregation in natural language generation
Hercules Dalianis and Eduard Hovy. 1993 · 1993
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Plan-based integration of natural language and graphics generation
Wolfgang Wahlster, Elisabeth André, Wolfgang Finkler, Hans-Jürgen Profitlich, and Thomas Rist. 1993 · 1993
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Centering: A framework for modeling the local coherence of discourse
Barbara J Grosz, Scott Weinstein, and Aravind K Joshi. 1995 · 1995
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Named entity tagged language models
Yoshihiko Gotoh, Steve Renals, and Gethin Williams. 1999 · 1999
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The order of prenominal adjectives in natural language generation
Robert Malouf. 2000 · 2000
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Trainable methods for surface natural language generation
Adwait Ratnaparkhi. 2000 · 2000
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Building natural language generation systems
Ehud Reiter and Robert Dale. 2000 · 2000
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Unsupervised language model adaptation incorporating named entity information
Feifan Liu and Yang Liu. 2007 · 2007
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Representations for learning to summarize plots
D Scott Appling and Mark O Riedl. 2009 · 2009
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Controlling narrative generation with planning trajectories: the role of constraints
Julie Porteous and Marc Cavazza. 2009 · 2009
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Story planning: Creativity through exploration, retrieval, and analogical transformation
Mark O Riedl. 2010 · 2010
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Narrative planning: Balancing plot and character
Mark O Riedl and Robert Michael Young. 2010 · 2010
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Automatic keyword extraction from individual documents
Stuart Rose, Dave Engel, Nick Cramer, and Wendy Cowley. 2010 · 2010
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Overcoming the lack of parallel data in sentence compression
Katja Filippova and Yasemin Altun. 2013 · 2013
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Story generation with crowdsourced plot graphs
Boyang Li, Stephen Lee-Urban, George Johnston, and Mark Riedl. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2015 · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
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Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Neural text generation in stories using entity representations as context
Elizabeth Clark, Yangfeng Ji, and Noah A Smith. 2018 · 2018
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Transformer-xl: Language modeling with longer-term dependency
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Cited alongside, same era.
Visual storytelling
Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, et al. 2016 · 2016
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Caters: Causal and temporal relation scheme for semantic annotation of event structures
Nasrin Mostafazadeh, Alyson Grealish, Nathanael Chambers, James Allen, and Lucy Vanderwende. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
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Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin. 2017 · 2017
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Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor OK Li, and Richard Socher. 2017 · 2017
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Deep semantic role labeling: What works and what’s next
Luheng He, Kenton Lee, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
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Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, and George E Dahl. 2018 · 2018
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Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Albert Gatt and Emiel Krahmer. 2018 · 2018
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Higher-order coreference resolution with coarse-to-fine inference
Kenton Lee, Luheng He, and Luke Zettlemoyer. 2018 · 2018
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Generating wikipedia by summarizing long sequences
Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
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Building language models for text with named entities
Md Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2018 · 2018
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Deep semantic role labeling with self-attention
Zhixing Tan, Mingxuan Wang, Jun Xie, Yidong Chen, and Xiaodong Shi. 2018 · 2018
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A skeleton-based model for promoting coherence among sentences in narrative story generation
Jingjing Xu, Yi Zhang, Qi Zeng, Xuancheng Ren, Xiaoyan Cai, and Xu Sun. 2018 · 2018
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Neural storyline extraction model for storyline generation from news articles
Deyu Zhou, Linsen Guo, and Yulan He. 2018 · 2018
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fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
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Pay less attention with lightweight and dynamic convolutions
Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, and Michael Auli. 2019 · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan. 2019 · 2019
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