Unsupervised domain adaptation is a fundamental problem for natural language processing, as we hope to apply our systems to datasets unlike those for which we have annotations.
we can use similar reasoning to compute the expectation of P. with probability (1 − p), the original features are preserved, and we add the outer-product x i x i ; with probability p, we add the outer-product x i q .