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We propose a sentence-level language model which selects the next sentence in a story from a finite set of fluent alternatives.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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Discriminative sentence modeling for story ending prediction
Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, and Guoping Hu. 2019 · 1912
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“cloze procedure”: A new tool for measuring readability
Wilson L Taylor. 1953 · 1953
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
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Probabilistic text structuring: Experiments with sentence ordering
Mirella Lapata. 2003 · 2003
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Lstm neural networks for language modeling
Martin Sundermeyer, Ralf Schlüter, and Hermann Ney. 2012 · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 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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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Russ R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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A corpus and cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
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Story comprehension for predicting what happens next
Snigdha Chaturvedi, Haoruo Peng, and Dan Roth. 2017 · 2017
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A joint model for semantic sequences: Frames, entities, sentiments
Haoruo Peng, Snigdha Chaturvedi, and Dan Roth. 2017 · 2017
Cited alongside, same era.
Resource-lean modeling of coherence in commonsense stories
Niko Schenk and Christian Chiarcos. 2017 · 2017
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Story cloze task: Uw nlp system
Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, and Noah A Smith. 2017 · 2017
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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.
Deliberation networks: Sequence generation beyond one-pass decoding
Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, and Tie-Yan Liu. 2017 · 2017
Cited alongside, same era.
Strategies for structuring story generation
Angela Fan, Mike Lewis, and Yann N. Dauphin. 2019 · 2019
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APE at scale and its implications on MT evaluation biases
Markus Freitag, Isaac Caswell, and Scott Roy. 2019 · 2019
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Story ending generation with incremental encoding and commonsense knowledge
Jian Guan, Yansen Wang, and Minlie Huang. 2019 · 2019
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Story ending prediction by transferable BERT
Zhongyang Li, Xiao Ding, and Ting Liu. 2019 · 2019
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Linguistic knowledge and transferability of contextual representations
Nelson F Liu, Matt Gardner, Yonatan Belinkov, Matthew E Peters, and Noah A Smith. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu Wu, Rewon Child, David Luan Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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Creative writing with a machine in the loop: Case studies on slogans and stories
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A Smith. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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An efficient framework for learning sentence representations
Lajanugen Logeswaran and Honglak Lee. 2018 · 2018
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Event representations for automated story generation with deep neural nets
Lara J Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark O Riedl. 2018 · 2018
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Storyboarding of recipes: Grounded contextual generation
Khyathi Chandu, Eric Nyberg, and Alan W Black. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Do massively pretrained language models make better storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D. Manning. 2019 · 2019
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Improving machine reading comprehension with general reading strategies
Kai Sun, Dian Yu, Dong Yu, and Claire Cardie. 2019 · 2019
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Plan-and-write: Towards better automatic storytelling
Lili Yao, Nanyun Peng, Ralph M. Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan. 2019 · 2019
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Story ending selection by finding hints from pairwise candidate endings
Mantong Zhou, Minlie Huang, and Xiaoyan Zhu. 2019 · 2019
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A character-centric neural model for automated story generation
Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, and Rui Yan. 2020 · 2020
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