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Keyword

ROUGE

Description: ROUGE is a family of automatic evaluation metrics that compares generated text with reference text, commonly used to assess summaries.
Primary topic: Topic Modeling (30%)
OpenAlex ID: keywords/rouge
ROUGE: A Package for Automatic Evaluation of Summaries
2004 · Chin-Yew Lin · 9,718
Microsoft COCO Captions: Data Collection and Evaluation Server
2015 · Chen, Xinlei, Fang, Hao, et al. · arXiv (Cornell University) · 1,556
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On Faithfulness and Factuality in Abstractive Summarization
2020 · Joshua Maynez, Shashi Narayan, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 1,164
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Abstractive Text Summarization Using GAN
2024 · Tanushree Bharti, Satyam Kumar Sinha, et al. · International Journal of Innovative Science and Research Technology (IJISRT) · 735
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Learning to summarize from human feedback
2020 · Stiennon, Nisan, Ouyang, Long, et al. · arXiv (Cornell University) · 550
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Ethics after Idealism: Theory, Culture, Ethnicity, Reading
1998 · Rey Chow · 274
Video Description
2019 · Nayyer Aafaq, Ajmal Mian, et al. · ACM Computing Surveys · 211
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Jointly Learning to Extract and Compress
2011 · Taylor Berg-Kirkpatrick, Dan Gillick, et al. · 209
An Investigation into the Validity of Some Metrics for Automatically Evaluating Natural Language Generation Systems
2009 · Ehud Reiter, Anja Belz · Computational Linguistics · 197
Automated Summarization Evaluation with Basic Elements.
2006 · Eduard Hovy, Chin-Yew Lin, et al. · Language Resources and Evaluation Conference (LREC) · 184
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Generative Adversarial Network for Abstractive Text Summarization
2018 · Linqing Liu, Yao Lu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 180
Comparing automatic and human evaluation of NLG systems
2006 · Anja Belz, Ehud Reiter · University of Brighton Repository (University of Brighton) · 177
Automated Text Summarization
2005 · Chin-Yew Lin · 176
Overview of the TAC 2008 update summarization task
2008 · Hoa Trang Dang, Karolina Owczarzak · 171
BanditSum: Extractive Summarization as a Contextual Bandit
2018 · Yue Dong, Yikang Shen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 170
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Assessing The Factual Accuracy of Generated Text
2019 · Ben Goodrich, Vinay Rao, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 162
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Better Summarization Evaluation with Word Embeddings for ROUGE
2015 · Jun-Ping Ng, Viktoria Abrecht · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 153
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Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
2019 · Bhuwan Dhingra, Manaal Faruqui, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 150
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Evaluation Measures for Text Summarization
2012 · Josef Steinberger, Karel Ježek · 149
Re-evaluating Evaluation in Text Summarization
2020 · Manik Bhandari, Pranav Narayan Gour, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 148
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Learning to Evaluate Image Captioning
2018 · Yin Cui, Guandao Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 140
Looking for a Few Good Metrics: ROUGE and its Evaluation
2004 · Chin-Yew Lin · 130
An Assessment of the Accuracy of Automatic Evaluation in Summarization
2013 · Karolina Owczarzak, John M. Conroy, et al. · 119
Semantic similarity metrics for evaluating source code summarization
2022 · Sakib Haque, Zachary Eberhart, et al. · IEEE/ACM International Conference on Program Comprehension (ICPC) · 114
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Multiple Aspect Summarization Using Integer Linear Programming
2012 · Kristian Woodsend, Mirella Lapata · 112
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Works count: 1,213
Citation count: 23,290
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