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Aspect-Target Sentiment Classification (ATSC) is a subtask of Aspect-Based Sentiment Analysis (ABSA), which has many applications e.g.
Attentional encoder network for targeted sentiment classification
Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, and Yanghui Rao. 2019 · 1902
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V Le. 2019 · 1906
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Pinlong Zhaoa, Linlin Houb, and Ou Wua. 2019 · 1906
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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SemEval-2014 Task 4: Aspect Based Sentiment Analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2015 · 2014
Earlier work this paper cites.
Ups and Downs
Ruining He and Julian McAuley. 2016 · 2016
Cited alongside, same era.
Effective LSTMs for target-dependent sentiment classification
Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2016a · 2016
Cited alongside, same era.
Aspect Level Sentiment Classification with Deep Memory Network
Duyu Tang, Bing Qin, and Ting Liu. 2016b · 2016
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.
Pathologies of neural models make interpretations difficult
Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, and Jordan Boyd-Graber. 2018 · 2018
Cited alongside, same era.
Exploiting document knowledge for aspect-level sentiment classification
Deep Contextualized Word Representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Improving Language Understanding by Generative Pre-Training
Alec Radford and Tim Salimans. 2018 · 2018
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Closest in time.
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, and Qiang Yang. 2019 · 2019
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Neural Transfer Learning for Natural Language Processing
Sebastian Ruder. 2019 · 2019
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Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2018 · 2018
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Cited alongside, same era.
Chi Sun, Luyao Huang, and Xipeng Qiu. 2019 · 2019
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BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu, and Philip S Yu. 2019 · 2019
Closest in time.