Pith. sign in

Citation notice #2514 · 2026-07-11 03:18:59.424535+00:00

Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach

Correction Crossref Open

cites R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G, which carries a correction notice dated 2022-07-18. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 4

Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., & Yu, P. S. (2008). Top 10 algorithms in data mining. Knowledge & Information Systems, 14(1), 1–37. Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R. R., & Le, Q. V. (2019). XLNet: Generalized autoregressive pre-training for language understanding. Proceedings of the 33rd International Conference on Neural Information Processing SystemsDecember , Vancouver, Canada, 5753–5763. Zha, H., Chen, W., Li, K., & Yan, X. (2019). Mining algorithm roadmap in scientific publications. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage AK USA, 1083–1092. Zhang, C., Mayr, P., Lu, W., & Zhang, Y. (2023 ). Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence. Aslib Journal of Information Management, 75(3), 433-437. Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., Zhang, W. E., & Sheng, Q. Z. (2022). Towards employing native information in citation function classification. Scientometrics. https://doi.org/10.1007/s11192-021-04242-0. Appendix Table A. The performance o

Parser render (TeX stripped for reading; raw above is the evidence)

Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., & Yu, P. S. (2008). Top 10 algorithms in data mining. Knowledge & Information Systems, 14(1), 1–37. Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R. R., & Le, Q. V. (2019). XLNet: Generalized autoregressive pre-training for language understanding. Proceedings of the 33rd International Conference on Neural Information Processing SystemsDecember, Vancouver, Canada, 5753–5763. Zha, H., Chen, W., Li, K., & Yan, X. (2019). Mining algorithm roadmap in scientific publications. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage AK USA, 1083–1092. Zhang, C., Mayr, P., Lu, W., & Zhang, Y. (2023 ). Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence. Aslib Journal of Information Management, 75(3), 433-437. Zhang, Y., Zhao, R., Wang, Y., Chen, H., Mahmood, A., Zaib, M., Zhang, W. E., & Sheng, Q. Z. (2022). Towards employing native information in citation function classification. Scientometrics. https://doi.org/10.1007/s11192-021-04242-0. Appendix Table A. The performance o

02Event

Type
Correction
Source
Crossref
Original DOI
10.1007/s11192-021-04242-0
Notice DOI
10.1007/s11192-022-04451-1
Date
2022-07-18
Title
Correction to: Towards employing native information in citation function classification
Reasons
['Correction']
Work
R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G (2008) Scientometrics

Schema constants (for re-runners): correction · crossref

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.