Andraž Pelicon

Denoising Labeled Data for Comment Moderation Using Active Learning

Noisily labeled textual data is ample on internet platforms that allow user-created content. Training models, such as offensive language detection models for comment moderation, on such data may prove difficult as the noise in the labels prevents the model to converge. In this work, we propose to us…