Papers by Tugtekin Turan
Adapting Language Models When Training on Privacy-Transformed Data (2022.lrec-1)
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| Challenge: | Using data sanitization methods to remove personal information from spoken messages is not effective because privacy-transformed data is unlikely to match the test distribution. |
| Approach: | They propose to use a data sanitization approach to remove personal information from spoken messages by replacing named entities with other words from the same class. |
| Outcome: | The proposed approach removes personal information from the spoken messages using an automatic named entity recognition method. |