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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Showing 9 citing articles:

A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing
Sophie Henning, William Beluch, Alexander Fraser, et al.
(2023)
Open Access | Times Cited: 13

Enhancing deep neural networks with morphological information
Matej Klemen, Luka Krsnik, Marko Robnik–Šikonja
Natural Language Engineering (2022) Vol. 29, Iss. 2, pp. 360-385
Open Access | Times Cited: 14

ParlaMint II: Advancing Comparable Parliamentary Corpora Across Europe
Tomaž Erjavec, Matyáš Kopp, Nikola Ljubešić, et al.
Research Square (Research Square) (2024)
Open Access

Nepali Dependency Parsing Using Transfer Learning
Bipin C. Pandey, Aman Shakya, Basanta Joshi, et al.
Lecture notes in networks and systems (2024), pp. 179-190
Closed Access

ParlaMint II: advancing comparable parliamentary corpora across Europe
Tomaž Erjavec, Matyáš Kopp, Nikola Ljubešić, et al.
Language Resources and Evaluation (2024)
Open Access

RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages
Stefan Grünewald, Frederik Tobias Oertel, Annemarie Friedrich
(2021), pp. 196-203
Open Access | Times Cited: 2

Improving Code-Switching Dependency Parsing with Semi-Supervised Auxiliary Tasks
Şaziye Betül Özateş, Arzucan Özgür, Tunga Güngör, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022), pp. 1159-1171
Open Access | Times Cited: 1

A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German
Teresa Bürkle, Stefan Grünewald, Annemarie Friedrich
(2021), pp. 85-95
Open Access

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