There are also other works for regularizing classifiers by adding random noise to the data, such as dropout (Srivastava et al., 2014) and its variant for NLP tasks, word dropout (Iyyer et al., 2015).
loss Function: For an entity pair, we compute the probability of relation r by P (r | X; θ) = softmax(As r +b), where A is the projection matrix and b is the bias.