Too Long; Didn't Read
Self-agreement is a QA protocol you can use in data annotation to evaluate the abilities of individual annotators. A 2016 study found that using self-aggreement can weed out low-quality annotators and improve the quality of your dataset. In this article, we will explain what self-ag Agreement is and introduce an ML study where self agreement checks were crucial to the. quality of the training data has a major impact on the accuracy of the model itself, according to the Jozef Stefan Institute.