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We present OpinionDigest, an abstractive opinion summarization framework, which does not rely on gold-standard summaries for training.
Informative and controllable opinion summarization
Reinald Kim Amplayo and Mirella Lapata. 2019 · 1909
Earlier work this paper cites.
Unsupervised multi-document opinion summarization as copycat-review generation
Arthur Bražinskas, Mirella Lapata, and Ivan Titov. 2019 · 1911
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LexRank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Best-worst scaling: Theory, methods and applications
Jordan J Louviere, Terry N Flynn, and Anthony Alfred John Marley. 2015 · 2015
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Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
Earlier work this paper cites.
Capturing reliable fine-grained sentiment associations by crowdsourcing and best–worst scaling
Svetlana Kiritchenko and Saif M. Mohammad. 2016 · 2016
Earlier work this paper cites.
Get To The Point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Coupled multi-layer attentions for co-extraction of aspect and opinion terms
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao. 2017 · 2017
Cited alongside, same era.
Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
Stefanos Angelidis and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Cited alongside, same era.
MeanSum: A neural model for unsupervised multi-document abstractive summarization
Unsupervised neural single-document summarization of reviews via learning latent discourse structure and its ranking
Masaru Isonuma, Junichiro Mori, and Ichiro Sakata. 2019 · 2019
Later among the works it cites.
Subjective databases
Yuliang Li, Aaron Feng, Jinfeng Li, Saran Mumick, Alon Halevy, Vivian Li, and Wang-Chiew Tan. 2019 · 2019
Later among the works it cites.
Hierarchical transformers for multi-document summarization
Yang Liu and Mirella Lapata. 2019 · 2019
Later among the works it cites.
DOER: Dual cross-shared RNN for aspect term-polarity co-extraction
Huaishao Luo, Tianrui Li, Bing Liu, and Junbo Zhang. 2019 · 2019
Later among the works it cites.
Snippext: Semi-supervised opinion mining with augmented data
Zhengjie Miao, Yuliang Li, Xiaolan Wang, and Wang-Chiew Tan. 2020 · 2020
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ExtremeReader: An interactive explorer for customizable and explainable review summarization
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Eric Chu and Peter J. Liu. 2019 · 2019
Cited alongside, same era.
Neural aspect and opinion term extraction with mined rules as weak supervision
Hongliang Dai and Yangqiu Song. 2019 · 2019
Cited alongside, same era.
Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004a
Cited in the paper.
Mining opinion features in customer reviews
Minqing Hu and Bing Liu. 2004b
Cited in the paper.
Xiaolan Wang, Yoshihiko Suhara, Natalie Nuno, Yuliang Li, Jinfeng Li, Nofar Carmeli, Stefanos Angelidis, Eser Kandogan, and Wang-Chiew Tan. 2020 · 2020
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