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NLP models that compare or consolidate information across multiple documents often struggle when challenged with recognizing substantial information redundancies across the texts.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Evaluating content selection in summarization: The pyramid method
Ani Nenkova and Rebecca Passonneau. 2004 · 2004
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Sentence fusion for multidocument news summarization
Regina Barzilay and Kathleen McKeown. 2005 · 2005
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Leveraging pyramids
Terry Copeck and Stan Szpakowicz. 2005 · 2005
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Explorations in sentence fusion
Erwin Marsi and Emiel Krahmer. 2005 · 2005
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Trimming CFG parse trees for sentence compression using machine learning approaches
Yuya Unno, Takashi Ninomiya, Yusuke Miyao, and Jun’ichi Tsujii. 2006 · 2006
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Sentence fusion via dependency graph compression
Katja Filippova and Michael Strube. 2008 · 2008
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Time-efficient creation of an accurate sentence fusion corpus
Kathleen McKeown, Sara Rosenthal, Kapil Thadani, and Coleman Moore. 2010 · 2010
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Learning to fuse disparate sentences
Micha Elsner and Deepak Santhanam. 2011 · 2011
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Towards strict sentence intersection: Decoding and evaluation strategies
Kapil Thadani and Kathleen McKeown. 2011 · 2011
Cited alongside, same era.
Supervised sentence fusion with single-stage inference
Kapil Thadani and Kathleen McKeown. 2013 · 2013
Later among the works it cites.
DiscoFuse: A large-scale dataset for discourse-based sentence fusion
M. Geva, E. Malmi, I. Szpektor, and J. Berant. 2019 · 2019
Later among the works it cites.
Scoring sentence singletons and pairs for abstractive summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, and Fei Liu. 2019 · 2019
Later among the works it cites.
Understanding points of correspondence between sentences for abstractive summarization
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, and Fei Liu. 2020 · 2020
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Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
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