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Abstractive summarization is an ideal form of summarization since it can synthesize information from multiple documents to create concise informative summaries.
Advances in Automatic Text Summarization
Inderjeet Mani and Mark T Maybury · 1999
Earlier work this paper cites.
Summarization beyond Sentence Extraction: A Probabilistic Approach to Sentence Compression
Kevin Knight and Daniel Marcu · 2002
Earlier work this paper cites.
LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Günes Erkan and Dragomir R Radev · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
TextRank: Bringing Order into Texts
Rada Mihalcea and Paul Tarau · 2004
Earlier work this paper cites.
Sentence Fusion for Multidocument News Summarization
Regina Barzilay and Kathleen R. Mckeown · 2005
Earlier work this paper cites.
Multi-Candidate Reduction: Sentence Compression as a Tool for Document Summarization Tasks
David Zajic, Bonnie J Dorr, Jimmy Lin, and Richard Schwartz · 2007
Earlier work this paper cites.
An Exploration of Document Impact on Graph-Based Multi-Document Summarization
Xiaojun Wan · 2008
Cited alongside, same era.
From Extractive to Abstractive Meeting Summaries: Can it be done by Sentence Compression?
Fei Liu and Yang Liu · 2009
Cited alongside, same era.
Multi-Sentence Compression: Finding Shortest Paths in Word Graphs
Katja Filippova · 2010
Cited alongside, same era.
Opinosis: A Graph-Based Approach to Abstractive Summarization of Highly Redundant Opinions
Kavita Ganesan, ChengXiang Zhai, and Jiawei Han · 2010
Cited alongside, same era.
Text Generation for Abstractive Summarization
Pierre-Etienne Genest and Guy Lapalme · 2010
Cited alongside, same era.
Jointly Learning to Extract and Compress
Taylor Berg-Kirkpatrick, Dan Gillick, and Dan Klein · 2011
Cited alongside, same era.
Abstractive Meeting Summarization with Entailment and Fusion
Yashar Mehdad, Giuseppe Carenini, Frank W Tompa, and Raymond T NG · 2013
Later among the works it cites.
Domain-Independent Abstract Generation for Focused Meeting Summarization
Lu Wang and Claire Cardie · 2013
Later among the works it cites.
A Fast and Accurate Dependency Parser using Neural Networks
Danqi Chen and Christopher D Manning · 2014
Later among the works it cites.
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong, John M Conroy, Benoit Favre, Alex Kulesza, Hui Lin, and Ani Nenkova · 2014
Later among the works it cites.
A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships
Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, and Raymond Ng · 2014
Later among the works it cites.
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Automatic summarization
Ani Nenkova and Kathleen McKeown · 2011
Cited alongside, same era.
Hai-Tao Zheng, Shu-Qin Gong, Hao Chen, Yong Jiang, and Shu-Tao Xia · 2014
Later among the works it cites.