Papers by Ildikó Pilán

2 papers
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions (2021.acl-long)

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Challenge: a paper examines the problem of automated text anonymisation . text anonymization is a prerequisite for secure sharing of documents containing sensitive information about individuals.
Approach: They propose to incorporate explicit measures of disclosure risk into the text anonymisation process to reduce the risk of errors.
Outcome: The proposed approach is based on a case study in which the authors outline the benefits and limitations of the proposed methods.
Bootstrapping Text Anonymization Models with Distant Supervision (2022.lrec-1)

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Challenge: Personal data is ubiquitous in text documents.
Approach: They propose a method to bootstrap text anonymization models based on distant supervision by using a knowledge graph to annotate text documents including personal data.
Outcome: The proposed method uses a knowledge graph to annotate text documents including personal data about a subset of individuals.

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