2. The system as claimed in claim 1 , wherein said trained one or more classifiers classify said abbreviated text document examples into said label space determined from said source domain.
1. A system for processing documents comprising: a memory; a processor unit in communication with the memory that performs a method comprising: constructing a hidden feature space from one or more text document examples of a source domain, said one or more text document examples tagged with one or more labels of a source domain label space; and, simultaneously training one or more classifiers for use in classifying text documents, said classifiers trained on said one or more text document examples and said hidden feature space; receiving, at said processor device, one or more abbreviated text document examples from a target domain; reconstructing, at said processor device, said partially observed text document examples of said target domain based on said constructed hidden feature space; and, predicting the labels of said abbreviated text document examples based on the reconstructed target domain text document examples and said one or more trained classifiers.