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Transformers have been showing near-human performance on a variety of tasks, but they are not without their limitations.
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910
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Causal Cohesion and Story Coherence , pages 83–111. Lawrence Erlbaum Associates
Tom Trabasso, Tom Secco, and Paul van den Broek. 1984 · 1984
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Story-telling as planning and learning
Michael Lebowitz. 1985 · 1985
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Thematic knowledge, episodic memory and analogy in MINSTREL, a story invention system
Scott R. Turner and Michael George Dyer. 1985 · 1985
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MAKEBELIEVE: Using Commonsense Knowledge to Generate Stories
Hugo Liu and Push Singh. 2002 · 2002
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Plans and planning in narrative generation: a review of plan-based approaches to the generation of story, discourse and interactivity in narratives
R. Michael Young, Stephen G. Ware, Bradley A. Cassell, and Justus Robertson. 2013 · 2013
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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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Domain-targeted, high precision knowledge extraction
Bhavana Dalvi Mishra, Niket Tandon, and Peter Clark. 2017 · 2017
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ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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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
Cited alongside, same era.
A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
VerbNet Representations: Subevent Semantics for Transfer Verbs
Susan Windisch Brown, Julia Bonn, James Gung, Annie Zaenen, James Pustejovsky, and Martha Palmer. 2019 · 2019
Cited alongside, same era.
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan, Yansen Wang, and Minlie Huang. 2019 · 2019
Cited alongside, same era.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Toward better storylines with sentence-level language models
Daphne Ippolito, David Grangier, Douglas Eck, and Chris Callison-Burch. 2020 · 2020
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Details of data collection and crowd management for glucose
Lori Moon, Lauren Berkowitz, and Nasrin Chu-Carroll, Jennifer Mostafazadeh. 2020 · 2020
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GLUCOSE: GeneraLized and COntextualized story explanations
Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, David Buchanan, Lauren Berkowitz, Or Biran, and Jennifer Chu-Carroll. 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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TellMeWhy: A dataset for answering why-questions in narratives
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, and Niranjan Balasubramanian. 2021 · 2021
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Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Do massively pretrained language models make better storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, and Christopher D. Manning. 2019 · 2019
Cited alongside, same era.
T-cvae: Transformer-based conditioned variational autoencoder for story completion
Tianming Wang and Xiaojun Wan. 2019 · 2019
Cited alongside, same era.
(Comet-)Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi. 2021 · 2020
Cited alongside, same era.
Neurosymbolic Automated Story Generation
Lara J. Martin. 2021 · 2021
Later among the works it cites.
COINS: Dynamically generating COntextualized inference rules for narrative story completion
Debjit Paul and Anette Frank. 2021 · 2021
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Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Xiangyu Peng, Siyan Li, Sarah Wiegreffe, and Mark Riedl. 2021 · 2021
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Do Language Models Perform Generalizable Commonsense Inference?
Peifeng Wang, Filip Ilievski, Muhao Chen, and Xiang Ren. 2021 · 2021
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Automated story generation as question-answering
Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad, and Mark O. Riedl. 2022 · 2022
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