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Keyword

summarization evaluation

Description: Summarization evaluation is the assessment of summary quality, using human judgments or computational methods in natural language processing.
OpenAlex ID: keywords/summarization-evaluation
Automatic Summarization
2001 · Inderjeet Mani · Natural language processing · 839
Automatic text summarization: A comprehensive survey
2020 · Wafaa S. El-Kassas, Cherif R. Salama, et al. · Expert Systems with Applications · 811
Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization
2005 · Gabriel Murray, Steve Renals, et al. · 716
SummEval: Re-evaluating Summarization Evaluation
2021 · Alexander R. Fabbri, Wojciech Kryściński, et al. · Transactions of the Association for Computational Linguistics · 566
Introduction to the Special Issue on Summarization
2002 · Dragomir R. Radev, Eduard Hovy, et al. · Computational Linguistics · 542
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Evaluating Content Selection in Summarization: The Pyramid Method
2004 · Nenkova, Ani, Passonneau, Rebecca · Columbia Academic Commons (Columbia University) · 527
Automatic Summarization
2011 · Ani Nenkova · now publishers, Inc. eBooks · 438
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A Survey on Automatic Text Summarization
2007 · Dipanjan Das Andr · 350
Neural Text Summarization: A Critical Evaluation
2019 · Wojciech Kryscinski, Nitish Shirish Keskar, et al. · 333
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Automatic Summarization
2011 · Ani Nenkova, Kathleen McKeown · Foundations and Trends® in Information Retrieval · 302
Review of automatic text summarization techniques & methods
2020 · Adhika Pramita Widyassari, Supriadi Rustad, et al. · Journal of King Saud University - Computer and Information Sciences · 239
Abstractive summarization: An overview of the state of the art
2018 · Som Gupta, Som Gupta, et al. · Expert Systems with Applications · 236
Summarization from medical documents: a survey
2004 · Stergos Afantenos, Vangelis Karkaletsis, et al. · Artificial Intelligence in Medicine · 223
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Overview of DUC 2005
2005 · Hoa Trang Dang · 218
The TIPSTER SUMMAC Text Summarization Evaluation
1999 · Inderjeet Mani, David House, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 213
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Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization
2002 · H. Gregory Silber, Kathleen F. McCoy · Computational Linguistics · 205
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
2021 · Artidoro Pagnoni, Vidhisha Balachandran, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 196
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DUC in context
2007 · Paul Over, Hoa Dang, et al. · Information Processing & Management · 184
Automatic Text Summarization: Past, Present and Future
2012 · Horacio Saggion, Thierry Poibeau · Theory and applications of natural language processing · 179
Summarization evaluation methods: Experiments and analysis
1998 · McKeown, Kathleen, Jing, Hongyan, et al. · Columbia Academic Commons (Columbia University) · 179
QuestEval: Summarization Asks for Fact-based Evaluation
2021 · Thomas Scialom, Paul-Alexis Dray, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 173
Rethinking the Evaluation of Video Summaries
2019 · Mayu Otani, Yuta Nakashima, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 171
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WikiHow: A Large Scale Text Summarization Dataset
2018 · Koupaee, Mahnaz, Wang, William Yang · arXiv (Cornell University) · 166
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Expert Systems With Applications
2025 · Som Gupta · SSRN Electronic Journal · 157
Summarization Evaluation: An Overview.
2001 · Inderjeet Mani · 155
Works count: 785
Citation count: 14,140
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