OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
Xuming Hu, Aiwei Liu, Zeqi Tan, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 10221-10234
Open Access | Times Cited: 7
Xuming Hu, Aiwei Liu, Zeqi Tan, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 10221-10234
Open Access | Times Cited: 7
Showing 7 citing articles:
A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction
Zhonghua Wu, Wenzhong Yang, Meng Zhang, et al.
Entropy (2025) Vol. 27, Iss. 3, pp. 284-284
Open Access
Zhonghua Wu, Wenzhong Yang, Meng Zhang, et al.
Entropy (2025) Vol. 27, Iss. 3, pp. 284-284
Open Access
APoLLo : Unified Adapter and Prompt Learning for Vision Language Models
Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10173-10187
Open Access | Times Cited: 7
Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10173-10187
Open Access | Times Cited: 7
Domain Knowledge-Driven Relation Extraction Methods
Boxuan Chen, Guan Yuan
Journal of Data Science and Intelligent Systems (2024)
Open Access | Times Cited: 2
Boxuan Chen, Guan Yuan
Journal of Data Science and Intelligent Systems (2024)
Open Access | Times Cited: 2
A Review of Relationship Extraction Based on Deep Learning
Guolong Liao, Xiangyan Tang, Li Tian, et al.
Communications in computer and information science (2024), pp. 73-84
Closed Access | Times Cited: 1
Guolong Liao, Xiangyan Tang, Li Tian, et al.
Communications in computer and information science (2024), pp. 73-84
Closed Access | Times Cited: 1
Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach
Maxime Delmas, Magdalena Wysocka, André Freitas
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 953-1000
Open Access | Times Cited: 1
Maxime Delmas, Magdalena Wysocka, André Freitas
Computational Linguistics (2024) Vol. 50, Iss. 3, pp. 953-1000
Open Access | Times Cited: 1
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Shiao Meng, Xuming Hu, Aiwei Liu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 5208-5226
Open Access | Times Cited: 2
Shiao Meng, Xuming Hu, Aiwei Liu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 5208-5226
Open Access | Times Cited: 2
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Xuming Hu, Zhaochen Hong, Yong Jiang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18261-18269
Open Access
Xuming Hu, Zhaochen Hong, Yong Jiang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18261-18269
Open Access
