Prior Knowledge Augmentation Network for Aspect-based Sentiment Analysis
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3639479.3639489
Reference48 articles.
1. Erik Cambria Qian Liu Sergio Decherchi and et al. 2022. SenticNet 7: a commonsense-based neurosymbolic AI framework for explainable sentiment analysis. In LREC.
2. Chenhua Chen Zhiyang Teng Zhongqing Wang and et al. 2022. Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis. In ACL. 2051–2064.
3. Xiao Chen Changlong Sun Jingjing Wang and et al. 2020. Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. In ACL. 3667–3677.
4. Xiang Chen, Ningyu Zhang, Xin Xie, and et al. 2022. Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction. In ACM Web Conference. 2778–2788.
5. Zuhua Dai Yuanyuan Liu Shilong Di and et al. 2021. Aspect-level sentiment analysis merged with knowledge graph and graph convolutional neural network. In Journal of Physics: Conference Series.
1.学者识别学者识别
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3.人才评估人才评估
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