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Opinion summarization is the task of automatically generating summaries for a set of reviews about a specific target (e.g., a movie or a product).
Summae: Zero-shot abstractive text summarization using length-agnostic auto-encoders
Peter J Liu, Yu-An Chung, and Jie Ren. 2019 · 1910
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Unsupervised opinion summarization with noising and denoising
Reinald Kim Amplayo and Mirella Lapata. 2020 · 1945
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies
Dragomir R. Radev, Hongyan Jing, and Malgorzata Budzikowska. 2000 · 2000
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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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Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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Extracting product features and opinions from reviews
Ana-Maria Popescu and Oren Etzioni. 2005 · 2005
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Building a sentiment summarizer for local service reviews
Sasha Blair-Goldensohn, Kerry Hannan, Ryan McDonald, Tyler Neylon, George Reis, and Jeff Reynar. 2008 · 2008
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Query-based opinion summarization for legal blog entries
Jack G. Conrad, Jochen L. Leidner, Frank Schilder, and Ravi Kondadadi. 2009 · 2009
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Sentiment summarization: Evaluating and learning user preferences
Kevin Lerman, Sasha Blair-Goldensohn, and Ryan McDonald. 2009 · 2009
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Unsupervised abstractive dialogue summarization for tete-a-tetes
Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, and Amr Ahmed. 2020 · 2009
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Opinosis: A graph based approach to abstractive summarization of highly redundant opinions
Kavita Ganesan, ChengXiang Zhai, and Jiawei Han. 2010 · 2010
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Comprehensive review of opinion summarization
Hyun Duk Kim, Kavita Ganesan, Parikshit Sondhi, and ChengXiang Zhai. 2011 · 2011
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Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2012 · 2012
Cited alongside, same era.
Mutli-document summarization of evaluative text
Giuseppe Carenini, Jackie Chi Kit Cheung, and Adam Pauls. 2013 · 2013
Cited alongside, same era.
Sentiment aggregation using ConceptNet ontology
Subhabrata Mukherjee and Sachindra Joshi. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Meteor universal: Language specific translation evaluation for any target language
Michael Denkowski and Alon Lavie. 2014 · 2014
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Controlling politeness in neural machine translation via side constraints
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Neural network-based abstract generation for opinions and arguments
Lu Wang and Wang Ling. 2016 · 2016
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Controlling linguistic style aspects in neural language generation
Jessica Ficler and Yoav Goldberg. 2017 · 2017
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Best-worst scaling more reliable than rating scales: A case study on sentiment intensity annotation
Svetlana Kiritchenko and Saif Mohammad. 2017 · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
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Giuseppe Di Fabbrizio, Amanda Stent, and Robert Gaizauskas. 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.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Best-Worst Scaling: Theory, Methods and Applications
Jordan J. Louviere, Terry N. Flynn, and A. A. J. Marley. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Alexander M. Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
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Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
Stefanos Angelidis and Mirella Lapata. 2018 · 2018
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Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2018 · 2018
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Generating Wikipedia by summarizing long sequences
Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
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MeanSum: A neural model for unsupervised multi-document abstractive summarization
Eric Chu and Peter Liu. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Hierarchical transformers for multi-document summarization
Yang Liu and Mirella Lapata. 2019 · 2019
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Unsupervised opinion summarization as copycat-review generation
Arthur Bražinskas, Mirella Lapata, and Ivan Titov. 2020 · 2020
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