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Aspect-based sentiment analysis (ABSA) is an emerging fine-grained sentiment analysis task that aims to extract aspects, classify corresponding sentiment polarities and find opinions as the causes of sentiment.
Language Models are Few-Shot Learners
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Making Pre-trained Language Models Better Few-shot Learners
Gao, T.; Fisch, A.; and Chen, D. 2020 · 2012
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SemEval-2014 Task 4: Aspect Based Sentiment Analysis
Pontiki, M.; Galanis, D.; Pavlopoulos, J.; Papageorgiou, H.; Androutsopoulos, I.; and Manandhar, S. 2014 · 2014
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Pointer Networks
Vinyals, O.; Fortunato, M.; and Jaitly, N. 2015 · 2015
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Effective LSTMs for Target-Dependent Sentiment Classification
Tang, D.; Qin, B.; Feng, X.; and Liu, T. 2016 · 2016
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Attention-based LSTM for Aspect-level Sentiment Classification
Wang, Y.; Huang, M.; Zhu, X.; and Zhao, L. 2016 · 2016
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Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
Wang, W.; Pan, S. J.; Dahlmeier, D.; and Xiao, X. 2017 · 2017
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Aspect Term Extraction with History Attention and Selective Transformation
Li, X.; Bing, L.; Li, P.; Lam, W.; and Yang, Z. 2018 · 2018
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Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction
Wang, W.; and Pan, S. J. 2018 · 2018
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Commonsense Knowledge Mining from Pretrained Models
Davison, J.; Feldman, J.; and Rush, A. 2019 · 2019
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Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling
Fan, Z.; Wu, Z.; Dai, X.-Y.; Huang, S.; and Chen, J. 2019 · 2019
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An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
He, R.; Lee, W. S.; Ng, H. T.; and Dahlmeier, D. 2019 · 2019
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Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
Ma, D.; Li, S.; Wu, F.; Xie, X.; and Wang, H. 2019 · 2019
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Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Riedel, S.; Lewis, P.; Bakhtin, A.; Wu, Y.; and Miller, A. 2019 · 2019
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Inducing Target-Specific Latent Structures for Aspect Sentiment Classification
Chen, C.; Teng, Z.; and Zhang, Y. 2020 · 2020
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Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis
Chen, Z.; and Qian, T. 2020 · 2020
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How Can We Know What Language Models Know?
Jiang, Z.; Xu, F. F.; Araki, J.; and Neubig, G. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
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Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
Position-Aware Tagging for Aspect Sentiment Triplet Extraction
Xu, L.; Li, H.; Lu, W.; and Bing, L. 2020 · 2020
Later among the works it cites.
Interventional Aspect-Based Sentiment Analysis
Bi, Z.; Zhang, N.; Ye, G.; Yu, H.; Chen, X.; and Chen, H. 2021 · 2021
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Prompt-Learning for Fine-Grained Entity Typing
Ding, N.; Chen, Y.; Han, X.; Xu, G.; Xie, P.; Zheng, H.-T.; Liu, Z.; Li, J.; and Kim, H.-G. 2021 · 2021
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PTR: Prompt Tuning with Rules for Text Classification
Han, X.; Zhao, W.; Ding, N.; Liu, Z.; and Sun, M. 2021 · 2021
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Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Hu, S.; Ding, N.; Wang, H.; Liu, Z.; Li, J.; and Sun, M. 2021 · 2021
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Li, K.; Chen, C.; Quan, X.; Ling, Q.; and Song, Y. 2020 · 2020
Cited alongside, same era.
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis
Peng, H.; Xu, L.; Bing, L.; Huang, F.; Lu, W.; and Si, L. 2020 · 2020
Cited alongside, same era.
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning
Pouran Ben Veyseh, A.; Nouri, N.; Dernoncourt, F.; Dou, D.; and Nguyen, T. H. 2020 · 2020
Cited alongside, same era.
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Shin, T.; Razeghi, Y.; Logan IV, R. L.; Wallace, E.; and Singh, S. 2020 · 2020
Cited alongside, same era.
oLMpics-On What Language Model Pre-training Captures
Talmor, A.; Elazar, Y.; Goldberg, Y.; and Berant, J. 2020 · 2020
Cited alongside, same era.
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
Tang, H.; Ji, D.; Li, C.; and Zhou, Q. 2020 · 2020
Cited alongside, same era.
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Wang, K.; Shen, W.; Yang, Y.; Quan, X.; and Wang, R. 2020 · 2020
Cited alongside, same era.
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Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Li, R.; Chen, H.; Feng, F.; Ma, Z.; Wang, X.; and Hovy, E. 2021 · 2021
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Prefix-Tuning: Optimizing Continuous Prompts for Generation
Li, X. L.; and Liang, P. 2021 · 2021
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Liu, X.; Zheng, Y.; Du, Z.; Ding, M.; Qian, Y.; Yang, Z.; and Tang, J. 2021 · 2021
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A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
Mao, Y.; Shen, Y.; Yu, C.; and Cai, L. 2021 · 2021
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Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference
Schick, T.; and Schutze, H. 2021 · 2021
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Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
Xu, L.; Chia, Y. K.; and Bing, L. 2021 · 2021
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A Unified Generative Framework for Aspect-Based Sentiment Analysis
Yan, H.; Dai, J.; Qiu, X.; Zhang, Z.; et al. 2021 · 2021
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