OpenAlex Citation Counts

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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:

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
Xuming Hu, Chenwei Zhang, Yawen Yang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Shuang Li, Xuming Hu, Lin Li, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 31, pp. 1771-1783
Open Access | Times Cited: 19

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
Yankai Chen, Yixiang Fang, Qiongyan Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8302-8310
Open Access | Times Cited: 6

Pair-Level Supervised Contrastive Learning for Natural Language Inference
Shuang Li, Xuming Hu, Lin Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 8237-8241
Open Access | Times Cited: 21

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Shuliang Liu, Xuming Hu, Chenwei Zhang, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022), pp. 5970-5980
Open Access | Times Cited: 21

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph
Aiwei Liu, Xuming Hu, Lin Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1021-1030
Open Access | Times Cited: 20

AMR-based Network for Aspect-based Sentiment Analysis
Fukun Ma, Xuming Hu, Aiwei Liu, et al.
(2023)
Open Access | Times Cited: 13

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
Aiwei Liu, Honghai Yu, Xuming Hu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 15

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

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
Xuming Hu, Yong Jiang, Aiwei Liu, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 9072-9087
Open Access | Times Cited: 7

Graph Component Contrastive Learning for Concept Relatedness Estimation
Yueen Ma, Zixing Song, Xuming Hu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 13362-13370
Open Access | Times Cited: 6

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
Xuming Hu, Zhijiang Guo, Zhiyang Teng, et al.
(2023), pp. 303-311
Open Access | Times Cited: 6

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction
Xuming Hu, Junzhe Chen, Shiao Meng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2364-2368
Open Access | Times Cited: 5

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence
Xuming Hu, Zhaochen Hong, Zhijiang Guo, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2319-2323
Open Access | Times Cited: 5

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu, Xiang Chen, Ningyu Zhang, et al.
(2022), pp. 413-427
Open Access | Times Cited: 8

Query-based Instance Discrimination Network for Relational Triple Extraction
Zeqi Tan, Yongliang Shen, Xuming Hu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 7677-7690
Open Access | Times Cited: 7

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Yawen Yang, Xuming Hu, Fukun Ma, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Open Access | Times Cited: 4

Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation
Zhiyang Xu, Jay Yoon Lee, Lifu Huang
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 4

Hierarchical symmetric cross entropy for distant supervised relation extraction
Yun Liu, Xiaoheng Jiang, Pengshuai Lv, et al.
Applied Intelligence (2024) Vol. 54, Iss. 21, pp. 11020-11033
Closed Access | Times Cited: 1

Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction
Bing Mao, Chang Jia, Yucheng Huang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 2318-2325
Closed Access | Times Cited: 6

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data
Yufei Li, Xiao Yu, Yanchi Liu, et al.
(2023), pp. 1349-1358
Open Access | Times Cited: 3

Extending Phrase Grounding with Pronouns in Visual Dialogues
Panzhong Lu, Xin Zhang, Meishan Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 7614-7625
Open Access | Times Cited: 4

Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction
Hong Yu, Jiahang Li, Feng Jian-chuan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 12872-12880
Open Access | Times Cited: 2

Automatic Table Union Search with Tabular Representation Learning
Xuming Hu, Shen Wang, Xiao Qin, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 3786-3800
Open Access | Times Cited: 2

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

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