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:

The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results
Marina Fomicheva, Piyawat Lertvittayakumjorn, Wei Zhao, et al.
(2021), pp. 165-178
Open Access | Times Cited: 21

Showing 21 citing articles:

DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence
Wei Zhao, Michael Strube, Steffen Eger
(2023)
Open Access | Times Cited: 17

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics
Christoph Leiter, Juri Opitz, Daniel Deutsch, et al.
(2023), pp. 117-138
Open Access | Times Cited: 11

DEMETR: Diagnosing Evaluation Metrics for Translation
Marzena Karpinska, Nishant Raj, Katherine Thai, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 9540-9561
Open Access | Times Cited: 16

Extrinsic Evaluation of Machine Translation Metrics
Nikita Moghe, Tom Sherborne, Mark Steedman, et al.
(2023), pp. 13060-13078
Open Access | Times Cited: 8

Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Marvin Kaster, Wei Zhao, Steffen Eger
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 8912-8925
Open Access | Times Cited: 13

The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics
Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso, et al.
(2023), pp. 1089-1105
Open Access | Times Cited: 5

Human-annotated rationales and explainable text classification: a survey
Elize Herrewijnen, Dong Nguyen, Floris Bex, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 1

Error Identification for Machine Translation with Metric Embedding and Attention
Raphaël Rubino, Atsushi Fujita, Benjamin Marie
(2021), pp. 146-156
Open Access | Times Cited: 8

IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task
Marcos Treviso, Nuno M. Guerreiro, Ricardo Rei, et al.
(2021), pp. 133-145
Open Access | Times Cited: 7

Deep Dive Machine Translation
Inguna Skadiņa, Andrejs Vasiļjevs, Mārcis Pinnis, et al.
Cognitive technologies (2023), pp. 263-287
Open Access | Times Cited: 2

Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement
Zhen Yang, Fandong Meng, Yuanmeng Yan, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 2012-2025
Open Access | Times Cited: 2

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
Gabriele Sarti, Phu Mon Htut, Xing Niu, et al.
(2023), pp. 1476-1490
Open Access | Times Cited: 2

LTRC_IIITH’s 2023 Submission for Prompting Large Language Models as Explainable Metrics Task
Pavan Baswani, Ananya Mukherjee, Manish Shrivastava
(2023), pp. 156-163
Open Access | Times Cited: 1

Explaining Errors in Machine Translation with Absolute Gradient Ensembles
Melda Eksi, Erik Gelbing, Jonathan R. Stieber, et al.
(2021), pp. 238-249
Open Access | Times Cited: 3

RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
Gabriele Sarti, Phu Mon Htut, Xing Niu, et al.
arXiv (Cornell University) (2023)
Open Access

EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics
Daniil Larionov, Jens Grünwald, Christoph Leiter, et al.
(2023), pp. 78-96
Open Access

Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Marvin Kaster, Wei Zhao, Steffen Eger
Empirical Methods in Natural Language Processing (2021), pp. 8912-8925
Closed Access

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