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We introduce TVStoryGen, a story generation dataset that requires generating detailed TV show episode recaps from a brief summary and a set of documents describing the characters involved.
Tale-spin, an interactive program that writes stories
James R Meehan. 1977 · 1977
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The role of emotion in believable agents
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Okapi at TREC-3
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Historical fiction or fictionalized history?
Joanne Brown. 1998 · 1998
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Why fiction may be twice as true as fact: Fiction as cognitive and emotional simulation
Keith Oatley. 1999 · 1999
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Makebelieve: Using commonsense knowledge to generate stories
Hugo Liu and Push Singh. 2002 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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The power of fiction: Determinants and boundaries
Melanie C Green, Jennifer Garst, and Timothy C Brock. 2003 · 2003
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Narrative planning: Balancing plot and character
Mark O Riedl and Robert Michael Young. 2010 · 2010
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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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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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Character identification on multiparty conversation: Identifying mentions of characters in TV shows
Yu-Hsin Chen and Jinho D. Choi. 2016 · 2016
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Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, and Mark J. Carman. 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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Neural network-based abstract generation for opinions and arguments
Lu Wang and Wang Ling. 2016 · 2016
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Unsupervised text recap extraction for TV series
Hongliang Yu, Shikun Zhang, and Louis-Philippe Morency. 2016 · 2016
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Robust coreference resolution and entity linking on dialogues: Character identification on TV show transcripts
Henry Y. Chen, Ethan Zhou, and Jinho D. Choi. 2017 · 2017
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Text-based speaker identification on multiparty dialogues using multi-document convolutional neural networks
Kaixin Ma, Catherine Xiao, and Jinho D. Choi. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Emotion detection on TV show transcripts with sequence-based convolutional neural networks
Sayyed M. Zahiri and Jinho D. Choi. 2017 · 2017
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SemEval 2018 task 4: Character identification on multiparty dialogues
Jinho D. Choi and Henry Y. Chen. 2018 · 2018
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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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A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
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Hierarchical neural story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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SocialNLP 2018 EmotionX challenge overview: Recognizing emotions in dialogues
Chao-Chun Hsu and Lun-Wei Ku. 2018 · 2018
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Event representations for automated story generation with deep neural nets
Lara Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark Riedl. 2018 · 2018
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A knowledge-enhanced pretraining model for commonsense story generation
Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, and Minlie Huang. 2020 · 2020
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Retrieval augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020 · 2020
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
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Narrative text generation with a latent discrete plan
Harsh Jhamtani and Taylor Berg-Kirkpatrick. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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A character-centric neural model for automated story generation
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Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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Towards controllable story generation
Nanyun Peng, Marjan Ghazvininejad, Jonathan May, and Kevin Knight. 2018 · 2018
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They exist! introducing plural mentions to coreference resolution and entity linking
Ethan Zhou and Jinho D. Choi. 2018 · 2018
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Handling divergent reference texts when evaluating table-to-text generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, and William Cohen. 2019 · 2019
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Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019
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Strategies for structuring story generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2019 · 2019
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Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, and Rui Yan. 2020 · 2020
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Facts2Story: Controlling text generation by key facts
Eyal Orbach and Yoav Goldberg. 2020 · 2020
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PlotMachines: Outline-conditioned generation with dynamic plot state tracking
Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, and Jianfeng Gao. 2020 · 2020
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Leveraging pre-trained checkpoints for sequence generation tasks
Sascha Rothe, Shashi Narayan, and Aliaksei Severyn. 2020 · 2020
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BLEURT: Learning robust metrics for text generation
Thibault Sellam, Dipanjan Das, and Ankur Parikh. 2020 · 2020
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Dialogue-based relation extraction
Dian Yu, Kai Sun, Claire Cardie, and Dong Yu. 2020 · 2020
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PEGASUS: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu. 2020 · 2020
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George van den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. 2021 · 2021
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MediaSum: A large-scale media interview dataset for dialogue summarization
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SummScreen: A dataset for abstractive screenplay summarization
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