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Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a fine-grained task in the field of sentiment analysis.
Roberta: A robustly optimized BERT pretraining approach
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Optimum branchings
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Three new probabilistic models for dependency parsing: An exploration
Jason M. Eisner. 1996 · 1996
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Target-dependent Twitter sentiment classification
Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, and Tiejun Zhao. 2011 · 2011
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A fast and accurate dependency parser using neural networks
Danqi Chen and Christopher Manning. 2014 · 2014
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Adaptive recursive neural network for target-dependent Twitter sentiment classification
Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, and Ke Xu. 2014 · 2014
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NRC-Canada-2014: Detecting aspects and sentiment in customer reviews
Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and Saif Mohammad. 2014 · 2014
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GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 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. 2014 · 2014
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Target-dependent twitter sentiment classification with rich automatic features
Duy-Tin Vo and Yue Zhang. 2015 · 2015
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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 V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez Zafra, and Gülsen Eryigit. 2016 · 2016
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A hierarchical model of reviews for aspect-based sentiment analysis
Sebastian Ruder, Parsa Ghaffari, and John G. Breslin. 2016 · 2016
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Effective LSTMs for target-dependent sentiment classification
Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2016a · 2016
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Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu. 2016b · 2016
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Attention-based LSTM for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao. 2016 · 2016
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Gated neural networks for targeted sentiment analysis
Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2016 · 2016
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Recurrent attention network on memory for aspect sentiment analysis
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. 2017 · 2017
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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2017 · 2017
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Attention modeling for targeted sentiment
Jiangming Liu and Yue Zhang. 2017 · 2017
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Interactive attention networks for aspect-level sentiment classification
Dehong Ma, Sujian Li, Xiaodong Zhang, and Houfeng Wang. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Syntax-aware aspect level sentiment classification with graph attention networks
Binxuan Huang and Kathleen Carley. 2019 · 2019
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Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sentence
Chi Sun, Luyao Huang, and Xipeng Qiu. 2019a · 2019
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Aspect-level sentiment analysis via convolution over dependency tree
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, and Xudong Liu. 2019b · 2019
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Progressive self-supervised attention learning for aspect-level sentiment analysis
Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, and Jiebo Luo. 2019 · 2019
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Aspect-based sentiment classification with aspect-specific graph convolutional networks
Chen Zhang, Qiuchi Li, and Dawei Song. 2019a · 2019
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Effective attention modeling for aspect-level sentiment classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2018 · 2018
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Transformation networks for target-oriented sentiment classification
Xin Li, Lidong Bing, Wai Lam, and Bei Shi. 2018 · 2018
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Learning to attend via word-aspect associative fusion for aspect-based sentiment analysis
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018 · 2018
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Target-sensitive memory networks for aspect sentiment classification
Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, and Yi Chang. 2018 · 2018
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Aspect based sentiment analysis with gated convolutional networks
Wei Xue and Tao Li. 2018 · 2018
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Learning to represent bilingual dictionaries
Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, and Carlo Zaniolo. 2019 · 2019
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Syntax-aware aspect-level sentiment classification with proximity-weighted convolution network
Chen Zhang, Qiuchi Li, and Dawei Song. 2019b · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Modelling context and syntactical features for aspect-based sentiment analysis
Minh Hieu Phan and Philip O. Ogunbona. 2020 · 2020
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Pre-trained models for natural language processing: A survey
Xipeng Qiu, TianXiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang. 2020 · 2020
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Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification
Hao Tang, Donghong Ji, Chenliang Li, and Qiji Zhou. 2020 · 2020
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SKEP: Sentiment knowledge enhanced pre-training for sentiment analysis
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, and Feng Wu. 2020 · 2020
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Relational graph attention network for aspect-based sentiment analysis
Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, and Rui Wang. 2020 · 2020
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Perturbed masking: Parameter-free probing for analyzing and interpreting BERT
Zhiyong Wu, Yun Chen, Ben Kao, and Qun Liu. 2020 · 2020
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Position-aware tagging for aspect sentiment triplet extraction
Lu Xu, Hao Li, Wei Lu, and Lidong Bing. 2020 · 2020
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Replicate, walk, and stop on syntax: An effective neural network model for aspect-level sentiment classification
Yaowei Zheng, Richong Zhang, Samuel Mensah, and Yongyi Mao. 2020 · 2020
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