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Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews.
Unsupervised opinion summarization with noising and denoising
Reinald Kim Amplayo and Mirella Lapata. 2020 · 1945
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A self-organizing integrated segmentation and recognition neural net
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Predicting query performance
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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
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Centroid-based summarization of multiple documents
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Opinion extraction and summarization on the web
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Importance of semantic representation: Dataless classification
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Auto-encoding variational bayes
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Image-based recommendations on styles and substitutes
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015 · 2015
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Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, and Bing Xiang. 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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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Neural discrete representation learning
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz 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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An analysis of annotated corpora for emotion classification in text
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Dictionary learning algorithms and applications
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Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Unsupervised opinion summarization as copycat-review generation
Arthur Bražinskas, Mirella Lapata, and Ivan Titov. 2020 · 2020
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TLDR: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 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
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J Liu, et al. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018a · 2018
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Ranking sentences for extractive summarization with reinforcement learning
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018b · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Meansum: a neural model for unsupervised multi-document abstractive summarization
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Unsupervised aspect-based multi-document abstractive summarization
Maximin Coavoux, Hady Elsahar, and Matthias Gallé. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu. 2020 · 2020
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Aspect-controllable opinion summarization
Reinald Kim Amplayo, Stefanos Angelidis, and Mirella Lapata. 2021a · 2021
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Informative and controllable opinion summarization
Reinald Kim Amplayo and Mirella Lapata. 2021 · 2021
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Extractive opinion summarization in quantized transformer spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, and Mirella Lapata. 2021 · 2021
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Self-supervised and controlled multi-document opinion summarization
Hady Elsahar, Maximin Coavoux, Jos Rozen, and Matthias Gallé. 2021 · 2021
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Convex Aggregation for Opinion Summarization
Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, and Wang-Chiew Tan. 2021 · 2021
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Unsupervised abstractive opinion summarization by generating sentences with tree-structured topic guidance
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, and Ichiro Sakata. 2021 · 2021
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A thorough evaluation of task-specific pretraining for summarization
Sascha Rothe, Joshua Maynez, and Shashi Narayan. 2021 · 2021
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Unsupervised extractive opinion summarization using sparse coding
Somnath Basu Roy Chowdhury, Chao Zhao, and Snigdha Chaturvedi. 2022 · 2022
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Efficient few-shot fine-tuning for opinion summarization
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, and Markus Dreyer. 2022 · 2022
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Consistsum: Unsupervised opinion summarization with the consistency of aspect, sentiment and semantic
Wenjun Ke, Jinhua Gao, Huawei Shen, and Xueqi Cheng. 2022 · 2022
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