Fetching the paper…
Reading the bibliography…
Opinions in scientific research papers can be divergent, leading to controversies among reviewers.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev · 2004
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Opinion extraction and summarization on the web
Minqing Hu and Bing Liu · 2006
Earlier work this paper cites.
Neural network-based abstract generation for opinions and arguments
Lu Wang and Wang Ling · 2016
Earlier work this paper cites.
Neural rating regression with abstractive tips generation for recommendation
Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, and Wai Lam · 2017
Earlier work this paper cites.
Summarizing opinions: Aspect extraction meets sentiment prediction and they are both weakly supervised
Stefanos Angelidis and Mirella Lapata · 2018
Earlier work this paper cites.
Informative and controllable opinion summarization
Reinald Kim Amplayo and Mirella Lapata · 2019
Earlier work this paper cites.
Meansum: A neural model for unsupervised multi-document abstractive summarization
Eric Chu and Peter J. Liu · 2019
Earlier work this paper cites.
Evaluating the factual consistency of abstractive text summarization
Wojciech Kryscinski, Bryan McCann, Caiming Xiong, and Richard Socher · 2019
Earlier work this paper cites.
Unsupervised opinion summarization with noising and denoising
Reinald Kim Amplayo and Mirella Lapata · 2020
Earlier work this paper cites.
Extractive opinion summarization in quantized transformer spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, and Mirella Lapata · 2020
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan · 2020
Earlier work this paper cites.
Metagen: An academic meta-review generation system
Chaitanya Bhatia, Tribikram Pradhan, and Sukomal Pal · 2020
Earlier work this paper cites.
Few-shot learning for opinion summarization
Arthur Brazinskas, Mirella Lapata, and Ivan Titov · 2020
Earlier work this paper cites.
Unsupervised opinion summarization as copycat-review generation
Arthur Brazinskas, Mirella Lapata, and Ivan Titov · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
A unified dual-view model for review summarization and sentiment classification with inconsistency loss
Hou Pong Chan, Wang Chen, and Irwin King · 2020
Cited alongside, same era.
APE: argument pair extraction from peer review and rebuttal via multi-task learning
Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, and Luo Si · 2020
Cited alongside, same era.
Hierarchical bi-directional self-attention networks for paper review rating recommendation
Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, and Philip S. Yu · 2020
Cited alongside, same era.
Opiniondigest: A simple framework for opinion summarization
Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis, and Wang-Chiew Tan · 2020
Cited alongside, same era.
Reviewrobot: Explainable paper review generation based on knowledge synthesis
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, and Nazneen Fatema Rajani · 2020
Cited alongside, same era.
Summac: Re-visiting nli-based models for inconsistency detection in summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, and Marti A. Hearst · 2021
Later among the works it cites.
Zero-shot opinion summarization with GPT-3
Adithya Bhaskar, Alexander R. Fabbri, and Greg Durrett · 2022
Later among the works it cites.
Efficient few-shot fine-tuning for opinion summarization
Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, and Markus Dreyer · 2022
Later among the works it cites.
Unsupervised extractive opinion summarization using sparse coding
Somnath Basu Roy Chowdhury, Chao Zhao, and Snigdha Chaturvedi · 2022
Later among the works it cites.
News summarization and evaluation in the era of GPT-3
Tanya Goyal, Junyi Jessy Li, and Greg Durrett · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Systematically exploring redundancy reduction in summarizing long documents
Wen Xiao and Giuseppe Carenini · 2020
Cited alongside, same era.
Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi · 2020
Cited alongside, same era.
Aspect-controllable opinion summarization
Reinald Kim Amplayo, Stefanos Angelidis, and Mirella Lapata · 2021
Cited alongside, same era.
Unsupervised opinion summarization with content planning
Reinald Kim Amplayo, Stefanos Angelidis, and Mirella Lapata · 2021
Cited alongside, same era.
Extractive opinion summarization in quantized transformer spaces
Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, and Mirella Lapata · 2021
Cited alongside, same era.
Dialogsum: A real-life scenario dialogue summarization dataset
Yulong Chen, Yang Liu, Liang Chen, and Yue Zhang · 2021
Cited alongside, same era.
Self-supervised and controlled multi-document opinion summarization
Hady Elsahar, Maximin Coavoux, Jos Rozen, and Matthias Gallé · 2021
Cited alongside, same era.
MemSum: Extractive summarization of long documents using multi-step episodic Markov decision processes
Nianlong Gu, Elliott Ash, and Richard Hahnloser · 2022
Later among the works it cites.
Mred: A meta-review dataset for structure-controllable text generation
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, and Luo Si · 2022
Later among the works it cites.
Discoscore: Evaluating text generation with BERT and discourse coherence
Wei Zhao, Michael Strube, and Steffen Eger · 2022
Later among the works it cites.
NLPeer: A unified resource for the computational study of peer review
Nils Dycke, Ilia Kuznetsov, and Iryna Gurevych · 2023
Closest in time.
Gptscore: Evaluate as you desire
Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, and Pengfei Liu · 2023
Closest in time.
Human-like summarization evaluation with chatgpt
Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, and Xiaojun Wan · 2023
Closest in time.
G-eval: NLG evaluation using GPT-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu · 2023
Closest in time.
Self-refine: Iterative refinement with self-feedback, 2023
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, and Peter Clark · 2023
Closest in time.
Chatgpt-3.5-turbo
OpenAI · 2023
Closest in time.
Simple yet effective synthetic dataset construction for unsupervised opinion summarization
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, and Yassine Benajiba · 2023
Closest in time.