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The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
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. 2019 · 1911
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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A neural probabilistic language model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003 · 2003
Earlier work this paper cites.
Target-dependent twitter sentiment classification
Long Jiang, Mo Yu, Ming Zhou, Xiaohua Liu, and Tiejun Zhao. 2011 · 2011
Earlier work this paper cites.
Sentiment analysis and opinion mining
Bing Liu. 2012 · 2012
Earlier work this paper cites.
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
Earlier work this paper cites.
Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Semeval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitrios 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, Dimitrios Galanis, Harris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
Cited alongside, same era.
Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Cited alongside, same era.
Semeval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitrios Galanis, Harris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, AL-Smadi Mohammad, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphee De Clercq, et al. 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.
Deep biaffine attention for neural dependency parsing
Extracting relational facts by an end-to-end neural model with copy mechanism
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2018 · 2018
Later among the works it cites.
Neural aspect and opinion term extraction with mined rules as weak supervision
Hongliang Dai and Yangqiu Song. 2019 · 2019
Later among the works it cites.
Graphrel: Modeling text as relational graphs for joint entity and relation extraction
Tsu-Jui Fu, Peng-Hsuan Li, and Wei-Yun Ma. 2019 · 2019
Later among the works it cites.
An interactive multi-task learning network for end-to-end aspect-based sentiment analysis
Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2019 · 2019
Later among the works it cites.
Open-domain targeted sentiment analysis via span-based extraction and classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, and Yiwei Lv. 2019 · 2019
Later among the works it cites.
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Timothy Dozat and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
Coupled multi-layer attentions for co-extraction of aspect and opinion terms
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao. 2017 · 2017
Cited alongside, same era.
Joint extraction of entities and relations based on a novel tagging scheme
Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, and Bo Xu. 2017 · 2017
Cited alongside, same era.
Joint entity recognition and relation extraction as a multi-head selection problem
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, and Chris Develder. 2018 · 2018
Cited alongside, same era.
Transformation networks for target-oriented sentiment classification
Xin Li, Lidong Bing, Wai Lam, and Bei Shi. 2018a
Cited in the paper.
Aspect term extraction with history attention and selective transformation
Xin Li, Lidong Bing, Piji Li, Wai Lam, and Zhimou Yang. 2018b
Cited in the paper.
A unified model for opinion target extraction and target sentiment prediction
Xin Li, Lidong Bing, Piji Li, and Wai Lam. 2019 · 2019
Later among the works it cites.
Doer: Dual cross-shared rnn for aspect term-polarity co-extraction
Huaishao Luo, Tianrui Li, Bing Liu, and Junbo Zhang. 2019 · 2019
Later among the works it cites.
Recognizing conflict opinions in aspect-level sentiment classification with dual attention networks
Xingwei Tan, Yi Cai, and Changxi Zhu. 2019 · 2019
Later among the works it cites.
Aspect-based sentiment classification with aspect-specific graph convolutional networks
Chen Zhang, Qiuchi Li, and Dawei Song. 2019 · 2019
Later among the works it cites.