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Textwash - automated open-source text anonymisation. Bennett Kleinberg∗. Toby Davies. Maximilian Mozes. Version: 27 August, 2022. Abstract. The increased use of text data in social science research has benefited from easy-to-access data (e.g., Twitter).
27 sie 2022 · Netanos (Named Entity-based Text ANonymization for Open Science) is a natural language processing software that anonymizes texts by identifying and replacing named entities and provides three alternative anonymization types.
27 sie 2022 · an open-source text anonymisation tool that anonymises text data in a fully automated way. Textw ash anonymises texts in a semantically-meaningful manner, ensuring that the...
This position paper investigates the problem of automated text anonymisation, which is a pre-requisite for secure sharing of documents con-taining sensitive information about individuals. We summarise the key concepts behind text anonymisation and provide a review of current approaches.
This paper presents a comprehensive benchmarking study comparing the performance of transformer-based models and Large Language Models(LLM) against traditional architectures for text anonymisation. Utilising the CoNLL-2003 dataset, known for its robustness and diversity, we evaluate several models.
This position paper investigates the problem of automated text anonymisation, which is a prerequisite for secure sharing of documents containing sensitive information about individuals. We summarise the key concepts behind text anonymisation and provide a review of current approaches.
This research embarks on a comprehensive examination of text anonymisation methods, focusing on Conditional Random Fields (CRF), Long Short-Term Memory (LSTM), Embeddings from Language Models (ELMo), and the transformative capabilities of the Transformers architecture. Each model presents unique
