Noisy-Labels-Problem-Collection
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What are the simplest methods for the label noise problem?
If I have enough low quality data from unsupervised methods or rule-based methods.
In detail, I deal with a multi-label classification task. First I crawl web page such as wiki and use regex-based rule to mark the label. The model input is the wiki title and the model output is the rule-matched labels from wiki content. My task is to predict the labels for the wiki title.
Do you think removing the wrong data predicted by trained model is a simple but effective method?
@GuokaiLiu Thank you very much!