6 citations · 11 across the 3 of their papers we have counts for
4 papers
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
Anthi Papadopoulou, Pierre Lison, Mark Anderson +2
Text sanitization is the task of redacting a document to mask all occurrences of (direct or indirect) personal identifiers, with the goal of concealing the identity of the individu…
Bootstrapping Text Anonymization Models with Distant Supervision
Anthi Papadopoulou, Pierre Lison, Lilja Øvrelid +1
We propose a novel method to bootstrap text anonymization models based on distant supervision. Instead of requiring manually labeled training data, the approach relies on a knowled…
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
Ildikó Pilán, Pierre Lison, Lilja Øvrelid +3
We present a novel benchmark and associated evaluation metrics for assessing the performance of text anonymization methods. Text anonymization, defined as the task of editing a tex…
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features
Constantine C. Doumanidis, Christina Anagnostou, Evangelia-Sofia Arvaniti +1
Recent interest in exploiting Deep Learning techniques for Noise Suppression, has led to the creation of Hybrid Denoising Systems that combine classic Signal Processing with Deep L…