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Narrative summarization aims to produce a distilled version of a narrative to describe its most salient events and characters.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Freytag’s technique of the drama: an exposition of dramatic composition and art
Gustav Freytag. 1908 · 1908
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Screenplay summarization using latent narrative structure
Pinelopi Papalampidi, Frank Keller, Lea Frermann, and Mirella Lapata. 2020 · 1933
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A Grammar of Stories: An Introduction
Gerald Prince. 1973 · 1973
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Plot units and narrative summarization
Wendy G Lehnert. 1981 · 1981
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Aspects of the Novel , volume 19
Edward Morgan Forster. 1985 · 1985
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The anatomy of a large-scale hypertextual web search engine
Sergey Brin and Lawrence Page. 1998 · 1998
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004
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Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Manual and automatic evaluation of machine translation between European languages
Philipp Koehn and Christof Monz. 2006 · 2006
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The New York Times Annotated Corpus
Linguistic Data Consortium and New York Times Company. 2008 · 2008
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Tv as storyteller: How exposure to television narratives impacts at-risk preschoolers’ story knowledge and narrative skills
Deborah L Linebarger and Jessica Taylor Piotrowski. 2009 · 2009
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Computational modeling of narrative
Inderjeet Mani. 2012 · 2012
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Learning latent personas of film characters
David Bamman, Brendan O’Connor, and Noah A. Smith. 2013 · 2013
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MCTest: A challenge dataset for the open-domain machine comprehension of text
Matthew Richardson, Christopher J.C. Burges, and Erin Renshaw. 2013 · 2013
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Entity linking with a knowledge base: Issues, techniques, and solutions
Wei Shen, Jianyong Wang, and Jiawei Han. 2014 · 2014
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Movie script summarization as graph-based scene extraction
Philip John Gorinski and Mirella Lapata. 2015 · 2015
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Writing for journalists
Wynford Hicks, Adams Sally, Harriett Gilbert, Tim Holmes, and Jane Bentley. 2016 · 2016
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Identifying causal relations using parallel Wikipedia articles
Christopher Hidey and Kathy McKeown. 2016 · 2016
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The goldilocks principle: Reading children’s books with explicit memory representations
Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston. 2016 · 2016
Cited alongside, same era.
Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gulçehre, and Bing Xiang. 2016 · 2016
Cited alongside, same era.
Movieqa: Understanding stories in movies through question-answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2016 · 2016
Cited alongside, same era.
Crowd-sourced iterative annotation for narrative summarization corpora
Jessica Ouyang, Serina Chang, and Kathy McKeown. 2017 · 2017
Cited alongside, same era.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Story realization: Expanding plot events into sentences
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, and Mark O. Riedl. 2020 · 2020
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A divide-and-conquer approach to the summarization of long documents
Alexios Gidiotis and Grigorios Tsoumakas. 2020 · 2020
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Exploring content selection in summarization of novel chapters
Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, and Kathleen McKeown. 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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Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles
Yao Lu, Yue Dong, and Laurent Charlin. 2020 · 2020
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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
Cited alongside, same era.
Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2018 · 2018
Cited alongside, same era.
Newsroom: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018
Cited alongside, same era.
Content selection in deep learning models of summarization
Chris Kedzie, Kathleen McKeown, and Hal Daumé III. 2018 · 2018
Cited alongside, same era.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018a · 2018
Cited alongside, same era.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018b · 2018
Cited alongside, same era.
DuoRC: Towards complex language understanding with paraphrased reading comprehension
Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, and Karthik Sankaranarayanan. 2018 · 2018
Cited alongside, same era.
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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Getting closer to AI complete question answering: A set of prerequisite real tasks
Anna Rogers, Olga Kovaleva, Matthew Downey, and Anna Rumshisky. 2020 · 2020
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Heterogeneous graph neural networks for extractive document summarization
Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, and Xuanjing Huang. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Weakly Supervised Subevent Knowledge Acquisition
Wenlin Yao, Zeyu Dai, Maitreyi Ramaswamy, Bonan Min, and Ruihong Huang. 2020 · 2020
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PEGASUS: pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020 · 2020
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“let your characters tell their story”: A dataset for character-centric narrative understanding
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, and Snigdha Chaturvedi. 2021 · 2021
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Can NLI models verify QA systems’ predictions?
Jifan Chen, Eunsol Choi, and Greg Durrett. 2021 · 2021
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Booksum: A collection of datasets for long-form narrative summarization
Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, and Dragomir Radev. 2021 · 2021
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Narrative theory for computational narrative understanding
Andrew Piper, Richard Jean So, and David Bamman. 2021 · 2021
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DocNLI: A large-scale dataset for document-level natural language inference
Wenpeng Yin, Dragomir Radev, and Caiming Xiong. 2021 · 2021
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Salience-aware event chain modeling for narrative understanding
Xiyang Zhang, Muhao Chen, and Jonathan May. 2021b · 2021
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QMSum: A new benchmark for query-based multi-domain meeting summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, and Dragomir Radev. 2021 · 2021
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SummScreen: A dataset for abstractive screenplay summarization
Mingda Chen, Zewei Chu, Sam Wiseman, and Kevin Gimpel. 2022 · 2022
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SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, and Marti A. Hearst. 2022 · 2022
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Read top news first: A document reordering approach for multi-document news summarization
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen Mckeown, and Snigdha Chaturvedi. 2022a · 2022
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