2022最新方面级别情感分析论文综述:

A Survey on Aspect-Based Sentiment Analysis:Tasks, Methods, and Challenges

博客分享: https://zhuanlan.zhihu.com/p/552474741

其中关于ASTE-Data-V2数据集的论文

1.论文地址

1.Towards Generative Aspect-Based Sentiment Analysis ACL2021
2.Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ACL2021
3.Aspect Sentiment Triplet Extraction Using Reinforcement Learning 2021
4.Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction 2020
5.First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction 2021
6.A Unified Generative Framework for Aspect-Based Sentiment Analysis ACL2021
7.Position-Aware Tagging for Aspect Sentiment Triplet Extraction emnlp 2020

2.论文代码

1论文代码:https://github.com/IsakZhang/Generative-ABSA
2论文代码:https://github.com/wireless911/span-aste
3论文代码:https://github.com/declare-lab/aste-rl
4论文代码:https://github.com/NJUNLP/GTS
6论文代码:https://github.com/yhcc/BARTABSA
7论文代码:https://github.com/xuuuluuu/Position-Aware-Tagging-for-ASTE

3.论文讲解

1.论文讲解:https://blog.csdn.net/qq_36234441/article/details/119777199
2.论文讲解:https://blog.csdn.net/qq_36234441/article/details/119791326
6.论文讲解:https://blog.csdn.net/qq_36234441/article/details/118143291

2. ASTE三元组

2.1 2021年和之前

1. Towards Generative Aspect-Based Sentiment Analysis ACL2021
2. Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ACL2021
3. Aspect Sentiment Triplet Extraction Using Reinforcement Learning 2021
4. Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction 2020
5. First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction 2021
6. A Unified Generative Framework for Aspect-Based Sentiment Analysis ACL2021
7. Position-Aware Tagging for Aspect Sentiment Triplet Extraction emnlp 2020
8. SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
9. Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction AAAI 2021
10. PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
11. A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis AAAI 2021

2.2 2022年

12. A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction NAACL 2022
13. Enhanced Multi-Channel Graph Convolutional Network forAspect Sentiment Triplet Extraction ACL 2022
14. Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
15. Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction EMNLP2022
16. A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction Coling 2022
17. A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction EMNLP 2022

3. ACOS/QUAD 四元组

3.1《Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions》(ACL2021 .8)

论文地址: https://aclanthology.org/2021.acl-long.29.pdf
代码: https://github.com/NUSTM/ACOS
论文详细讲解博客: https://blog.csdn.net/weixin_41799019/article/details/121247951

3.2《Aspect Sentiment Quad Prediction as Paraphrase Generation》(EMNLP 2021. 11)

论文地址: https://aclanthology.org/2021.emnlp-main.726.pdf
代码: https://github.com/IsakZhang/ABSA-QUAD
论文详细讲解博客: https://blog.csdn.net/qq_43658933/article/details/123972826

3.3《Seq2Path: Generating Sentiment Tuples as Paths of a Tree》(EMNLP 2022.5)

Seq2Path: Generating Sentiment Tuples as Paths of a Tree
Seq2Path: 将情感元组生成为树的路径
论文地址: https://aclanthology.org/2022.findings-acl.174.pdf
代码: 无开源代码
论文详细讲解博客: https://blog.csdn.net/jst100/article/details/125546186

3.4《Aspect-based Sentiment Analysis with Opinion Tree Generation》(IJCAI 2022.5)

论文地址: https://www.ijcai.org/proceedings/2022/0561.pdf
代码: 无开源代码
论文详细讲解博客: https://blog.csdn.net/qq_43658933/article/details/123972826

3.5《Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure》(EMNLP 2022.12)

基于对比学习和表达结构的生成式方面情感分析
论文地址: https://aclanthology.org/2022.findings-emnlp.451.pdf
代码: https://github.com/jpeper/GEN_SCL_NAT

3.6《Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation》(EMNLP 2022)

基于模板顺序数据增广的方向情感四元预测算法
论文地址: https://aclanthology.org/2022.emnlp-main.538.pdf
代码: https://github.com/hmt2014/AspectQuad

水平有限，会持续更新~~~~