Text Anonymization
4 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Text Anonymization
Most implemented papers
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
norskregnesentral/text-anonymization-benchmark
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We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods.
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
kargaranamir/hengam
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Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing 2022
We create Hengam in the following concrete steps: (1) we develop HengamTagger, an extensible rule-based tool that can extract temporal expressions from a set of diverse language-specific patterns for any language of interest.
Bootstrapping Text Anonymization Models with Distant Supervision
Instead of requiring manually labeled training data, the approach relies on a knowledge graph expressing the background information assumed to be publicly available about various individuals.
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
In this work, we present the first comprehensive study on the capabilities of pretrained LLMs to infer personal attributes from text.
