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Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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Semi-markov conditional random fields for information extraction
Sunita Sarawagi and William W. Cohen. 2004 · 2004
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Open domain targeted sentiment
Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, and Benjamin Van Durme. 2013 · 2013
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 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. 2014a · 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. 2014b · 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. 2014c · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
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Neural networks for open domain targeted sentiment
Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2015 · 2015
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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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Recursive neural conditional random fields for aspect-based sentiment analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao. 2016a · 2016
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Attention-based LSTM for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao. 2016b · 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 multi-task learning for aspect term extraction with memory interaction
Xin Li and Wai Lam. 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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Coupled multi-layer attentions for co-extraction of aspect and opinion terms
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao. 2017 · 2017
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Aspect term extraction with history attention and selective transformation
Xin Li, Lidong Bing, Piji Li, Wai Lam, and Zhimou Yang. 2018b · 2018
Open-domain targeted sentiment analysis via span-based extraction and classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, and Yiwei Lv. 2019 · 2019
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A unified model for opinion target extraction and target sentiment prediction
Xin Li, Lidong Bing, Piji Li, and Wai Lam. 2019 · 2019
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Exploring sequence-to-sequence learning in aspect term extraction
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, and Houfeng Wang. 2019 · 2019
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MASS: masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Joint learning for targeted sentiment analysis
Dehong Ma, Sujian Li, and Houfeng Wang. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 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
Cited alongside, same era.
Recursive neural structural correspondence network for cross-domain aspect and opinion co-extraction
Wenya Wang and Sinno Jialin Pan. 2018 · 2018
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Double embeddings and CNN-based sequence labeling for aspect extraction
Hu Xu, Bing Liu, Lei Shu, and Philip S. Yu. 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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Relation-aware collaborative learning for unified aspect-based sentiment analysis
Zhuang Chen and Tieyun Qian. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Conditional augmentation for aspect term extraction via masked sequence-to-sequence generation
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, and Yan Song. 2020 · 2020
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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
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Introducing syntactic structures into target opinion word extraction with deep learning
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, and Thien Huu Nguyen. 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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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
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Latent opinions transfer network for target-oriented opinion words extraction
Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, and Jiajun Chen. 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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SpanMlt: A span-based multi-task learning framework for pair-wise aspect and opinion terms extraction
He Zhao, Longtao Huang, Rong Zhang, Quan Lu, and Hui Xue. 2020 · 2020
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A joint training dual-mrc framework for aspect based sentiment analysis
Yue Mao, Yi Shen, Chao Yu, and Longjun Cai. 2021 · 2021
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