Fetching the paper…
Reading the bibliography…
Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term, and sentiment polarity.
Label semantics for few shot named entity recognition
Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, and Dan Roth. 2022 · 1971
Earlier work this paper cites.
Extracting opinion targets in a single and cross-domain setting with conditional random fields
Niklas Jakob and Iryna Gurevych. 2010 · 2010
Earlier work this paper cites.
Position-aware tagging for aspect sentiment triplet extraction
Lu Xu, Hao Li, Wei Lu, and Lidong Bing. 2020a · 2010
Earlier work this paper cites.
Sentiment analysis and opinion mining
Bing Liu. 2012 · 2012
Earlier work this paper cites.
SemEval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014
Earlier work this paper cites.
SemEval-2015 task 12: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
Earlier work this paper cites.
Survey on aspect-level sentiment analysis
Kim Schouten and Flavius Frasincar. 2015 · 2015
Earlier work this paper cites.
SemEval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, and Gülşen Eryiğit. 2016 · 2016
Earlier work this paper cites.
Recursive neural conditional random fields for aspect-based sentiment analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao. 2016 · 2016
Earlier work this paper cites.
Deep learning for sentiment analysis: A survey
Lei Zhang, Shuai Wang, and Bing Liu. 2018 · 2018
Cited alongside, same era.
Open-domain targeted sentiment analysis via span-based extraction and classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, and Yiwei Lv. 2019 · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Global inference for aspect and opinion terms co-extraction based on multi-task neural networks
Jianfei Yu, Jing Jiang, and Rui Xia. 2019 · 2019
Cited alongside, same era.
Task aware representation of sentences for generic text classification
Kishaloy Halder, Alan Akbik, Josip Krapac, and Roland Vollgraf. 2020 · 2020
Cited alongside, same era.
Conditional augmentation for aspect term extraction via masked sequence-to-sequence generation
Target-aspect-sentiment joint detection for aspect-based sentiment analysis
Hai Wan, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, and Jeff Z. Pan. 2020 · 2020
Later among the works it cites.
Position-aware tagging for aspect sentiment triplet extraction
Lu Xu, Hao Li, Wei Lu, and Lidong Bing. 2020b · 2020
Later among the works it cites.
Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions
Hongjie Cai, Rui Xia, and Jianfei Yu. 2021 · 2021
Later among the works it cites.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
Later among the works it cites.
A unified generative framework for aspect-based sentiment analysis
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, and Zheng Zhang. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, and Yan Song. 2020 · 2020
Cited alongside, same era.
Issues and challenges of aspect-based sentiment analysis: a comprehensive survey
Ambreen Nazir, Yuan Rao, Lianwei Wu, and Ling Sun. 2020 · 2020
Cited alongside, same era.
Knowing what, how and why: A near complete solution for aspect-based sentiment analysis
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, and Luo Si. 2020 · 2020
Cited alongside, same era.
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, and Peter J. Liu. 2020 · 2020
Cited alongside, same era.
Towards generative aspect-based sentiment analysis
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2021b
Cited in the paper.
Aspect sentiment quad prediction as paraphrase generation
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, and Wai Lam. 2021a · 2021
Later among the works it cites.
Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al. 2022 · 2022
Closest in time.
A survey on aspect-based sentiment analysis: Tasks, methods, and challenges
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2022 · 2022
Closest in time.