Given a pre-trained background space kept frozen across experiments, the vector representation of a target is generated by simple vector addition over its context words.
the obtained vector directly represents the context the target term occurs in, and consequently, similar representations (in terms of cosine similarity) mean that the target term is used in a similar way in different parts of a book/corpus, and is thus consistently learnable.