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While recent work in abstractive summarization has resulted in higher scores in automatic metrics, there is little understanding on how these systems combine information taken from multiple document sentences.
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
Mor Geva, Eric Malmi, Idan Szpektor, and Jonathan Berant. 2019 · 1902
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Sentence Fusion for Multidocument News Summarization
Regina Barzilay and Kathleen R. McKeown. 2005 · 2005
Earlier work this paper cites.
Explorations in Sentence Fusion
Erwin Marsi and Emiel Krahmer. 2005 · 2005
Earlier work this paper cites.
Discriminative sentence compression with soft syntactic evidence
Ryan McDonald. 2006 · 2006
Earlier work this paper cites.
Sentence compression beyond word deletion
Trevor Cohn and Mirella Lapata. 2008 · 2008
Earlier work this paper cites.
Sentence fusion via dependency graph compression
Katja Filippova and Michael Strube. 2008 · 2008
Earlier work this paper cites.
Time-efficient creation of an accurate sentence fusion corpus
Kathleen McKeown, Sara Rosenthal, Kapil Thadani, and Coleman Moore. 2010 · 2010
Earlier work this paper cites.
Document summarization via guided sentence compression
Chen Li, Fei Liu, Fuliang Weng, and Yang Liu. 2013 · 2013
Earlier work this paper cites.
Abstractive Meeting Summarization with Entailment and Fusion
Yashar Mehdad, Giuseppe Carenini, Frank Wm Tompa, and Raymond T. Ng. 2013 · 2013
Earlier work this paper cites.
Supervised Sentence Fusion with Single-Stage Inference
Kapil Thadani and Kathleen McKeown. 2013 · 2013
Earlier work this paper cites.
A sentence compression based framework to query-focused multi-document summarization
Lu Wang, Hema Raghavan, Vittorio Castelli, Radu Florian, and Claire Cardie. 2013 · 2013
Cited alongside, same era.
Unsupervised Sentence Enhancement for Automatic Summarization
Jackie Chi Kit Cheung and Gerald Penn. 2014 · 2014
Cited alongside, same era.
Abstractive summarization of product reviews using discourse structure
Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, and Bita Nejat. 2014 · 2014
Cited alongside, same era.
Improving multi-documents summarization by sentence compression based on expanded constituent parse trees
Chen Li, Yang Liu, Fei Liu, Lin Zhao, and Fuliang Weng. 2014 · 2014
Cited alongside, same era.
Sentence Compression by Deletion with LSTMs
Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, Lukasz Kaiser, and Oriol Vinyals. 2015 · 2015
Cited alongside, same era.
Teaching Machines to Read and Comprehend
Bottom-Up Abstractive Summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander Rush. 2018 · 2018
Later among the works it cites.
Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Later among the works it cites.
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li, Junnan Zhu, Jiajun Zhang, and Chengqing Zong. 2018 · 2018
Later among the works it cites.
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion
Mir Tafseer Nayeem, Tanvir Ahmed Fuad, and Yllias Chali. 2018 · 2018
Later among the works it cites.
A structured review of the validity of BLEU
Ehud Reiter. 2018 · 2018
Later among the works it cites.
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song, Lin Zhao, and Fei Liu. 2018 · 2018
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Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Toward abstractive summarization using semantic representations
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, and Noah A. Smith. 2015 · 2015
Cited alongside, same era.
Why we need new evaluation metrics for NLG
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017 · 2017
Cited alongside, same era.
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
Cited alongside, same era.
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
Cited alongside, same era.
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
Ziqiang Cao, Wenjie Li, Sujian Li, and Furu Wei. 2018a
Cited in the paper.
Later among the works it cites.
What does BERT look at? an analysis of BERT’s attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning. 2019 · 2019
Closest in time.
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, and Iryna Gurevych. 2019 · 2019
Closest in time.
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
Closest in time.
Hierarchical transformers for multi-document summarization
Yang Liu and Mirella Lapata. 2019 · 2019
Closest in time.