(2009) extracted the words from the dependency tree with a fixed window size of ±2 as the context.
given a word w in a sentence, all the words corresponding to its immediate parent (-1), immediate children (+1), grandparent (-2) and grandchildren (+2) are extracted as features to constitute a context vector.