Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization. Retrieved May 24, 2026, from https://4ort.xyz/entity/privacy-and-utility-preserving-nlp-with-anonymized-data-a-case-study-of-pseudonymization
MLA“Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/privacy-and-utility-preserving-nlp-with-anonymized-data-a-case-study-of-pseudonymization.
BibTeX@misc{4ortxyz_privacy-and-utility-preserving-nlp-with-anonymized-data-a-case-study-of-pseudonymization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization}}, year = {2026}, url = {https://4ort.xyz/entity/privacy-and-utility-preserving-nlp-with-anonymized-data-a-case-study-of-pseudonymization}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization — https://4ort.xyz/entity/privacy-and-utility-preserving-nlp-with-anonymized-data-a-case-study-of-pseudonymization (retrieved 2026-05-24)
