@inproceedings{berg-dalianis-2021-hb,
title = "{HB} {D}eid - {HB} De-identification tool demonstrator",
author = "Berg, Hanna and
Dalianis, Hercules",
editor = "Dobnik, Simon and
{\O}vrelid, Lilja",
booktitle = "Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)",
month = may # " 31--2 " # jun,
year = "2021",
address = "Reykjavik, Iceland (Online)",
publisher = {Link{\"o}ping University Electronic Press, Sweden},
url = "https://aclanthology.org/2021.nodalida-main.54",
pages = "467--471",
abstract = "This paper describes a freely available web-based demonstrator called HB Deid. HB Deid identifies so-called protected health information, PHI, in a text written in Swedish and removes, masks, or replaces them with surrogates or pseudonyms. PHIs are named entities such as personal names, locations, ages, phone numbers, dates. HB Deid uses a CRF model trained on non-sensitive annotated text in Swedish, as well as a rule-based post-processing step for finding PHI. The final step in obscuring the PHI is then to either mask it, show only the class name or use a rule-based pseudonymisation system to replace it.",
}
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<abstract>This paper describes a freely available web-based demonstrator called HB Deid. HB Deid identifies so-called protected health information, PHI, in a text written in Swedish and removes, masks, or replaces them with surrogates or pseudonyms. PHIs are named entities such as personal names, locations, ages, phone numbers, dates. HB Deid uses a CRF model trained on non-sensitive annotated text in Swedish, as well as a rule-based post-processing step for finding PHI. The final step in obscuring the PHI is then to either mask it, show only the class name or use a rule-based pseudonymisation system to replace it.</abstract>
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%0 Conference Proceedings
%T HB Deid - HB De-identification tool demonstrator
%A Berg, Hanna
%A Dalianis, Hercules
%Y Dobnik, Simon
%Y Øvrelid, Lilja
%S Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
%D 2021
%8 may 31–2 jun
%I Linköping University Electronic Press, Sweden
%C Reykjavik, Iceland (Online)
%F berg-dalianis-2021-hb
%X This paper describes a freely available web-based demonstrator called HB Deid. HB Deid identifies so-called protected health information, PHI, in a text written in Swedish and removes, masks, or replaces them with surrogates or pseudonyms. PHIs are named entities such as personal names, locations, ages, phone numbers, dates. HB Deid uses a CRF model trained on non-sensitive annotated text in Swedish, as well as a rule-based post-processing step for finding PHI. The final step in obscuring the PHI is then to either mask it, show only the class name or use a rule-based pseudonymisation system to replace it.
%U https://aclanthology.org/2021.nodalida-main.54
%P 467-471
Markdown (Informal)
[HB Deid - HB De-identification tool demonstrator](https://aclanthology.org/2021.nodalida-main.54) (Berg & Dalianis, NoDaLiDa 2021)
ACL
- Hanna Berg and Hercules Dalianis. 2021. HB Deid - HB De-identification tool demonstrator. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), pages 467–471, Reykjavik, Iceland (Online). Linköping University Electronic Press, Sweden.