Task: Question Answering
Input (English): Given that words from texts of the same class belong to the same context, it is possible to model word vectors of each class as word subspaces and efficiently compare them in terms of similarity by using canonical angles between the word subspaces.  
 Question: What can word subspace represent?
Output (English): Word vectors, usually in the context of others within the same class