--- title: "Summarization — papers" description: "Summarization: 113 papers of the Elamur Research library, the most cited first. Shortening a document or a set of documents to what matters." canonical: "https://research.elamur.ai/free/en/topics/summarization/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/summarization/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / Summarization # 📝 Summarization 113 papers · page 1 of 5 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/) Shortening a document or a set of documents to what matters. **1** [2](https://md.research.elamur.ai/free/en/topics/summarization/page/2/) … [5](https://md.research.elamur.ai/free/en/topics/summarization/page/5/) [next →](https://md.research.elamur.ai/free/en/topics/summarization/page/2/) - [A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts](https://md.research.elamur.ai/free/en/papers/pang-2004-sentimental-education-sentiment-analysis-subjectivity/) — Bo Pang, Lillian Lee · 2004 · 3 842 citations - [PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-pegasus-pre-training-extracted-gap/) — Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al. · 2019 · 1 806 citations - [A Deep Reinforced Model for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/paulus-2017-deep-reinforced-model-abstractive-summarization/) — Romain Paulus, Caiming Xiong, Richard Socher · 2017 · 1 626 citations - [SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents](https://md.research.elamur.ai/free/en/papers/nallapati-2016-summarunner-recurrent-neural-network-based/) — Ramesh Nallapati, Feifei Zhai, Bowen Zhou · 2016 · 1 566 citations - [Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) — Sumit Chopra, Michael Auli, Alexander M. Rush · 2016 · 1 085 citations - [A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/) — Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al. · 2018 · 1 018 citations - [Neural Summarization by Extracting Sentences and Words](https://md.research.elamur.ai/free/en/papers/cheng-2016-neural-summarization-extracting-sentences-words/) — Jianpeng Cheng, Mirella Lapata · 2016 · 1 000 citations - [Using Lexical Chains for Text Summarization](https://md.research.elamur.ai/free/en/papers/barzilay-1997-lexical-chains-text-summarization/) — Regina Barzilay, Michael Elhadad · 1997 · 989 citations - [Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) — Sebastian Gehrmann, Yuntian Deng, Alexander Rush · 2018 · 939 citations - [Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization](https://md.research.elamur.ai/free/en/papers/veen-2023-adapted-large-language-models-outperform/) — Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al. · 2023 · 925 citations - [Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/) — Yen-Chun Chen, Mohit Bansal · 2018 · 819 citations - [Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/) — Simone Teufel, Marc Moens · 2002 · 775 citations - [Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model](https://md.research.elamur.ai/free/en/papers/fabbri-2019-multi-news-large-scale-multi/) — Alexander Fabbri, Irene Li, Tianwei She, et al. · 2019 · 738 citations - [A Joint Model of Text and Aspect Ratings for Sentiment Summarization](https://md.research.elamur.ai/free/en/papers/titov-2008-joint-model-text-aspect-ratings/) — Ivan Titov, Ryan McDonald · 2008 · 729 citations - [A Class of Submodular Functions for Document Summarization](https://md.research.elamur.ai/free/en/papers/lin-2011-class-submodular-functions-document-summarization/) — Hui Lin, Jeff Bilmes · 2011 · 683 citations - [Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/) — Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al. · 2024 · 663 citations - [Exploring Content Models for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/haghighi-2009-exploring-content-models-multi-document/) — Aria Haghighi, Lucy Vanderwende · 2009 · 630 citations - [Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions](https://md.research.elamur.ai/free/en/papers/ganesan-2010-opinosis-graph-based-approach-abstractive/) — Kavita Ganesan, ChengXiang Zhai, Jiawei Han · 2010 · 608 citations - [The Automated Acquisition of Topic Signatures for Text Summarization](https://md.research.elamur.ai/free/en/papers/lin-2000-automated-acquisition-topic-signatures-text/) — Chin-Yew Lin, Eduard Hovy · 2000 · 585 citations - [Extractive Summarization as Text Matching](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/) — Ming Zhong, Pengfei Liu, Yiran Chen, et al. · 2020 · 567 citations - [Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) — Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al. · 2019 · 555 citations - [Sentence Fusion for Multidocument News Summarization](https://md.research.elamur.ai/free/en/papers/barzilay-2005-sentence-fusion-multidocument-news-summarization/) — Regina Barzilay, Kathleen R. McKeown · 2005 · 548 citations - [Information Fusion in the Context of Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/barzilay-1999-information-fusion-context-multi-document/) — Regina Barzilay, Kathleen R. McKeown, Michael Elhadad · 1999 · 477 citations - [Hierarchical Transformers for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/liu-2019-hierarchical-transformers-multi-document-summarization/) — Yang Liu, Mirella Lapata · 2019 · 462 citations - [HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/) — Xingxing Zhang, Furu Wei, Ming Zhou · 2019 · 446 citations **1** [2](https://md.research.elamur.ai/free/en/topics/summarization/page/2/) … [5](https://md.research.elamur.ai/free/en/topics/summarization/page/5/) [next →](https://md.research.elamur.ai/free/en/topics/summarization/page/2/) - [← previous topic Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) - [next topic → Syntax & grammar formalisms](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) - [↑ back to topics](https://md.research.elamur.ai/free/en/topics/)