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Selecting the ``right'' amount of information to include in a summary is a difficult task.
Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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Nltk: The natural language toolkit
Edward Loper and Steven Bird. 2002 · 2002
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Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gulçehre, and Bing Xiang. 2016 · 2016
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Newsroom: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018
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Neural document summarization by jointly learning to score and select sentences
Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, and Tiejun Zhao. 2018 · 2018
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Keywords-guided abstractive sentence summarization
Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, and Xiaodong He. 2020 · 2020
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Learning to summarize with human feedback
Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul F Christiano. 2020 · 2020
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GSum: A general framework for guided neural abstractive summarization
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, and Graham Neubig. 2021 · 2021
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SummEval: Re-evaluating summarization evaluation
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev. 2021 · 2021
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Controllable neural dialogue summarization with personal named entity planning
Zhengyuan Liu and Nancy Chen. 2021 · 2021
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Entity-level factual consistency of abstractive text summarization
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, and Bing Xiang. 2021 · 2021
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Planning with learned entity prompts for abstractive summarization
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, and Ryan McDonald. 2021 · 2021
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Learning to revise references for faithful summarization
Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen McKeown, and Noémie Elhadad. 2022 · 2022
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Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization
Meng Cao, Yue Dong, and Jackie Cheung. 2022 · 2022
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Multilingual summarization with factual consistency evaluation
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, and Mirella Lapata. 2023 · 2023
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Prompted opinion summarization with GPT-3.5
Adithya Bhaskar, Alex Fabbri, and Greg Durrett. 2023 · 2023
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Gptscore: Evaluate as you desire
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Chatgpt outperforms crowd-workers for text-annotation tasks
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Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, and Robert McHardy. 2023 · 2023
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Re-examining system-level correlations of automatic summarization evaluation metrics
Daniel Deutsch, Rotem Dror, and Dan Roth. 2022 · 2022
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Tanya Goyal, Junyi Jessy Li, and Greg Durrett. 2022 · 2022
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CTRLsum: Towards generic controllable text summarization
Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, and Caiming Xiong. 2022 · 2022
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EntSUM: A data set for entity-centric extractive summarization
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Generating EDU extracts for plan-guided summary re-ranking
Griffin Adams, Alex Fabbri, Faisal Ladhak, Noémie Elhadad, and Kathleen McKeown. 2023a
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A meta-evaluation of faithfulness metrics for long-form hospital-course summarization
Griffin Adams, Jason Zucker, and Noémie Elhadad. 2023b
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Gpteval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023a
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OpenAI. 2023 · 2023
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Benchmarking large language models for news summarization
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