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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.

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SemEval-2023 Task 6: LegalEval - Understanding Legal Texts
Ashutosh Modi, Prathamesh Kalamkar, Saurabh Karn, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 2362-2374
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

An LLMs-based neuro-symbolic legal judgment prediction framework for civil cases
Bin Wei, Yaoyao Yu, Leilei Gan, et al.
Artificial Intelligence and Law (2025)
Closed Access
Viettel-AI at SemEval-2023 Task 6: Legal Document Understanding with Longformer for Court Judgment Prediction with Explanation
Thanh Dat Hoang, Chi Minh Bui, Nam Bui
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 862-868
Open Access | Times Cited: 5
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1293-1303
Open Access | Times Cited: 4
AntContentTech at SemEval-2023 Task 6: Domain-adaptive Pretraining and Auxiliary-task Learning for Understanding Indian Legal Texts
Jingjing Huo, Kezun Zhang, Zhengyong Liu, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 402-408
Open Access | Times Cited: 4
UO-LouTAL at SemEval-2023 Task 6: Lightweight Systems for Legal Processing
Sébastien Bosch, Louis Estève, Joanne Loo, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1412-1420
Open Access | Times Cited: 3
TeamShakespeare at SemEval-2023 Task 6: Understand Legal Documents with Contextualized Large Language Models
Xin Jin, Yuchen Wang
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 517-525
Open Access | Times Cited: 3
uOttawa at SemEval-2023 Task 6: Deep Learning for Legal Text Understanding
Intisar Almuslim, Sean Stilwell, S. Suresh, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 580-588
Open Access | Times Cited: 2
IRIT_IRIS_A at SemEval-2023 Task 6: Legal Rhetorical Role Labeling Supported by Dynamic-Filled Contextualized Sentence Chunks
Ana Alice Lemos Lima, José G. Moreno, Eduardo Aranha
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 905-912
Open Access | Times Cited: 2
YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles Prediction
Chen Yu, You Zhang, Jin Wang, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 2075-2081
Open Access | Times Cited: 2
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction
Irene Benedetto, Alkis Koudounas, Lorenzo Vaiani, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1401-1411
Open Access | Times Cited: 2
LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings
Pavan Baswani, Hiranmai Sri Adibhatla, Manish Shrivastava
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 841-846
Open Access | Times Cited: 2
nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation
Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 270-274
Open Access | Times Cited: 2
Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural Networks
Anshika Gupta, Shaz Furniturewala, Vijay Kumari, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1858-1862
Open Access | Times Cited: 2
Enhancing Legal Document Analysis and Judgment Prediction with Machine Learning and Deep Learning Techniques
Avadhut Shelar, Minal Moharir
International Journal of Religion (2024) Vol. 5, Iss. 11, pp. 6791-6809
Open Access
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
Shubham Kumar Nigam, Aniket Deroy, Noel Shallum, et al.
(2024)
Open Access
NITK_LEGAL at SemEval-2023 Task 6: A Hierarchical based system for identification of Rhetorical Roles in legal judgements
Patchipulusu Sindhu, Diya Gupta, Sanjeevi Meghana, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1154-1160
Open Access | Times Cited: 1
LRL_NC at SemEval-2023 Task 6: Sequential Sentence Classification for Legal Documents Using Topic Modeling Features
Kushagri Tandon, Niladri Chatterjee
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 143-149
Open Access | Times Cited: 1
IRIT_IRIS_C at SemEval-2023 Task 6: A Multi-level Encoder-based Architecture for Judgement Prediction of Legal Cases and their Explanation
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 686-692
Open Access | Times Cited: 1
TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts
Yuri Noviello, Enrico Pallotta, Flavio Pinzarrone, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 275-284
Open Access | Times Cited: 1
VTCC-NER at SemEval-2023 Task 6: An Ensemble Pre-trained Language Models for Named Entity Recognition
Minh‐Quang Tran, Xuan-Dung Doan
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 415-419
Open Access | Times Cited: 1
NLP-Titan at SemEval-2023 Task 6: Identification of Rhetorical Roles Using Sequential Sentence Classification
Harsh Kataria, Ambuje Gupta
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1365-1370
Open Access | Times Cited: 1
Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents
Junzhe Zhao, Yingxi Wang, Nicolay Rusnachenko, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1282-1286
Open Access | Times Cited: 1
NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 751-757
Open Access | Times Cited: 1
CSECU-DSG at SemEval-2023 Task 6: Segmenting Legal Documents into Rhetorical Roles via Fine-tuned Transformer Architecture
Fareen Tasneem, Tashin Hossain, Jannatun Naim, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 2112-2117
Open Access | Times Cited: 1
VTCC-NLP at SemEval-2023 Task 6:Long-Text Representation Based on Graph Neural Network for Rhetorical Roles Prediction
Hiep T. Nguyen, Hoang‐Anh Ngo, Nam Q. Bui
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1121-1126
Open Access | Times Cited: 1
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