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Progress in summarizing long texts is inhibited by the lack of appropriate evaluation frameworks.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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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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Conditions for text coherence
Tanya Reinhart. 1980 · 1980
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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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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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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Modeling local coherence: an entity-based approach
Regina Barzilay and Mirella Lapata. 2005 · 2005
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Modeling local coherence: An entity-based approach
Regina Barzilay and Mirella Lapata. 2008 · 2008
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Extending the entity grid with entity-specific features
Micha Elsner and Eugene Charniak. 2011 · 2011
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Automatically evaluating text coherence using discourse relations
Ziheng Lin, Hwee Tou Ng, and Min-Yen Kan. 2011 · 2011
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Extending the entity-based coherence model with multiple ranks
Vanessa Wei Feng and Graeme Hirst. 2012 · 2012
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Graph-based local coherence modeling
Camille Guinaudeau and Michael Strube. 2013 · 2013
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The impact of deep hierarchical discourse structures in the evaluation of text coherence
Vanessa Wei Feng, Ziheng Lin, and Graeme Hirst. 2014 · 2014
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
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A neural local coherence model
Dat Tien Nguyen and Shafiq Joty. 2017 · 2017
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Coherence modeling of asynchronous conversations: A neural entity grid approach
Shafiq Joty, Muhammad Tasnim Mohiuddin, and Dat Tien Nguyen. 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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A neural local coherence model for text quality assessment
Mohsen Mesgar and Michael Strube. 2018 · 2018
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Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
All that’s ‘human’is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A Smith. 2021 · 2021
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SummEval: Re-evaluating Summarization Evaluation
Alexander Richard Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev. 2021 · 2021
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Efficient Attentions for Long Document Summarization
Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, and Lu Wang. 2021 · 2021
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The perils of using mechanical turk to evaluate open-ended text generation
Marzena Karpinska, Nader Akoury, and Mohit Iyyer. 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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Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018 · 2018
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Neural text summarization: A critical evaluation
Wojciech Kryściński, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, and Richard Socher. 2019 · 2019
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A unified neural coherence model
Han Cheol Moon, Muhammad Tasnim Mohiuddin, Shafiq Joty, and Chi Xu. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
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BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Re-evaluating evaluation in text summarization
Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, and Graham Neubig. 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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Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H Awadallah, and Dragomir Radev. 2021 · 2021
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Evaluating document coherence modeling
Aili Shen, Meladel Mistica, Bahar Salehi, Hang Li, Timothy Baldwin, and Jianzhong Qi. 2021 · 2021
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Recursively summarizing books with human feedback
Jeff Wu, Long Ouyang, Daniel M Ziegler, Nisan Stiennon, Ryan Lowe, Jan Leike, and Paul Christiano. 2021 · 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, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, et al. 2021 · 2021
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SummScreen: A dataset for abstractive screenplay summarization
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Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
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Long Document Summarization with Top-down and Bottom-up Inference
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SummˆN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
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