a. Generalized cross entropy loss for training deep neural networks with noisy labels. ... Without relabelling: e.g., a. A semi-supervised two-stage approach to learning from noisy labels b. Joint optimization framework for learning with noisy labels ...
and the algorithm obtained better accuracy for sequence labeling of these three morphologically rich languages.used the maximum entropy classification model for stem extraction in three languages, and the algorithm obtained better accuracy for sequence labeling of these three morphologically rich languages. ...