Anonymization of Court Orders

Claus Povlsen; Bart Jongejan; Dorte Haltrup Hansen; Bo Krantz Simonsen

doi:10.1109/cisti.2016.7521611

Anonymization of Court Orders

Claus Povlsen, Bart Jongejan, Dorte Haltrup Hansen, Bo Krantz Simonsen

Department of Nordic Studies and Linguistics

2 Citations (Scopus)

Abstract

We describe an anonymization tool that was commissioned by and specified together with Schultz, a publishing company specialized in Danish law related publications. Unavailability of training data and the need to guarantee compliance with pre-existing anonymization guidelines forced us to implement a tool using manually crafted rules. We used Bracmat, a programming language that is specialized in transforming tree data structures, to meet the requirement to pass the XML structure of the input document unscathed through the whole workflow. The tool attains a reassuringly good recall, makes almost no chunk errors and reduces the found entity designators to a nearly correct set of entities that the input text refers to, minimizing the time needed for manual check and post-editing.

Translated title of the contribution	Anonymisering af Dommerkendelser
Original language	English
Publication date	25 Jul 2016
Number of pages	4
DOIs	https://doi.org/10.1109/cisti.2016.7521611
Publication status	Published - 25 Jul 2016
Event	Iberian Conference on Information Systems and Technologies - Gran Canaria, Spain Duration: 15 Jun 2016 → 18 Jun 2016 Conference number: 11

Conference

Conference	Iberian Conference on Information Systems and Technologies
Number	11
Location	Gran Canaria
Country/Territory	Spain
Period	15/06/2016 → 18/06/2016

Keywords

Faculty of Humanities

Access to Document

10.1109/cisti.2016.7521611

Automatisk anonymisering af fortrolige dokumenter:
Povlsen, C. (Lecturer)
14 Aug 2012
Activity: Talk or presentation types › Lecture and oral contribution

Cite this

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title = "Anonymization of Court Orders",

abstract = "We describe an anonymization tool that was commissioned by and specified together with Schultz, a publishing company specialized in Danish law related publications. Unavailability of training data and the need to guarantee compliance with pre-existing anonymization guidelines forced us to implement a tool using manually crafted rules. We used Bracmat, a programming language that is specialized in transforming tree data structures, to meet the requirement to pass the XML structure of the input document unscathed through the whole workflow. The tool attains a reassuringly good recall, makes almost no chunk errors and reduces the found entity designators to a nearly correct set of entities that the input text refers to, minimizing the time needed for manual check and post-editing.",

keywords = "Faculty of Humanities, Named Entity Recognition, consistent assignment, high recall rate, real life application",

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AU - Hansen, Dorte Haltrup

AU - Krantz Simonsen, Bo

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N2 - We describe an anonymization tool that was commissioned by and specified together with Schultz, a publishing company specialized in Danish law related publications. Unavailability of training data and the need to guarantee compliance with pre-existing anonymization guidelines forced us to implement a tool using manually crafted rules. We used Bracmat, a programming language that is specialized in transforming tree data structures, to meet the requirement to pass the XML structure of the input document unscathed through the whole workflow. The tool attains a reassuringly good recall, makes almost no chunk errors and reduces the found entity designators to a nearly correct set of entities that the input text refers to, minimizing the time needed for manual check and post-editing.

AB - We describe an anonymization tool that was commissioned by and specified together with Schultz, a publishing company specialized in Danish law related publications. Unavailability of training data and the need to guarantee compliance with pre-existing anonymization guidelines forced us to implement a tool using manually crafted rules. We used Bracmat, a programming language that is specialized in transforming tree data structures, to meet the requirement to pass the XML structure of the input document unscathed through the whole workflow. The tool attains a reassuringly good recall, makes almost no chunk errors and reduces the found entity designators to a nearly correct set of entities that the input text refers to, minimizing the time needed for manual check and post-editing.

KW - Faculty of Humanities

KW - Named Entity Recognition

KW - consistent assignment

KW - high recall rate

KW - real life application

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M3 - Paper

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ER -

Anonymization of Court Orders

Abstract

Conference

Keywords

Access to Document

Activities

Automatisk anonymisering af fortrolige dokumenter:

Cite this