This folder contains the necessary source code and data to reproduce ACL 2015 submission
titled Unsupervised Cross-Domain Word Representation Learning.

First, use the preprocess.py to generate the train instances for the non-pivot prediction task.
Second, use the reps.cc to learn the word representation in the proposed method.
Finally, use sent.py to conduct cross-domain sentiment classification.