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:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
Jiaxin Huang, Meng Yu, Jiawei Han
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 605-614
Open Access | Times Cited: 14
Jiaxin Huang, Meng Yu, Jiawei Han
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 605-614
Open Access | Times Cited: 14
Showing 14 citing articles:
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training
Yunyi Zhang, Minhao Jiang, Yu Meng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 11
Yunyi Zhang, Minhao Jiang, Yu Meng, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 11
Rumor detection for emergency events via few-shot ensembled prompt learning
Chen Su, Junkang Zhou, Zhentao Jiang, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Chen Su, Junkang Zhou, Zhentao Jiang, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition
Jingyun Xu, Yi Cai
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Closed Access | Times Cited: 6
Jingyun Xu, Yi Cai
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Closed Access | Times Cited: 6
Few-Shot Name Entity Recognition on StackOverflow
Xinwei Chen, Kun Li, Tianyou Song, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 961-965
Open Access | Times Cited: 2
Xinwei Chen, Kun Li, Tianyou Song, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2024), pp. 961-965
Open Access | Times Cited: 2
Coarse-to-fine Few-shot Learning for Named Entity Recognition
Ruotian Ma, Lin Zhang, Xuanting Chen, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4115-4129
Open Access | Times Cited: 5
Ruotian Ma, Lin Zhang, Xuanting Chen, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 4115-4129
Open Access | Times Cited: 5
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18453-18461
Open Access | Times Cited: 1
Bo Li, Wei Ye, Quansen Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18453-18461
Open Access | Times Cited: 1
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Yu Shrike Zhang, Yunyi Zhang, Yanzhen Shen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19606-19614
Open Access | Times Cited: 1
Yu Shrike Zhang, Yunyi Zhang, Yanzhen Shen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19606-19614
Open Access | Times Cited: 1
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
Hongliang Dai, Ziqian Zeng
(2023), pp. 2259-2270
Open Access | Times Cited: 2
Hongliang Dai, Ziqian Zeng
(2023), pp. 2259-2270
Open Access | Times Cited: 2
Dual Contrastive Learning for Cross-domain Named Entity Recognition
Jingyun Xu, Junnan Yu, Yi Cai, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-33
Closed Access
Jingyun Xu, Junnan Yu, Yi Cai, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-33
Closed Access
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models
Yunyi Zhang, Ming Zhong, Siru Ouyang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6644-6654
Open Access
Yunyi Zhang, Ming Zhong, Siru Ouyang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6644-6654
Open Access
PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs
Alessandro De Bellis, Vito Walter Anelli, Tommaso Di Noia, et al.
Lecture notes in computer science (2024), pp. 227-246
Closed Access
Alessandro De Bellis, Vito Walter Anelli, Tommaso Di Noia, et al.
Lecture notes in computer science (2024), pp. 227-246
Closed Access
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective
Meng Yu, Jiaxin Huang, Yu Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5817-5818
Closed Access
Meng Yu, Jiaxin Huang, Yu Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5817-5818
Closed Access
A Hierarchical Prototype Contrastive Learning based Few-Shot Entity Typing Approach
Yong Ji, Shaoqing Tan, Fuchao Ai, et al.
(2023), pp. 876-881
Closed Access
Yong Ji, Shaoqing Tan, Fuchao Ai, et al.
(2023), pp. 876-881
Closed Access
Adapting Pretrained Representations for Text Mining
Meng Yu, Jiaxin Huang, Yu Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4806-4807
Closed Access
Meng Yu, Jiaxin Huang, Yu Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4806-4807
Closed Access
