In this work, we generalize the SKIP-GRAM model, and move from linear bag-of-words contexts to arbitrary word contexts.
following work in sparse vector-space models (Lin, 1998;Padó and Lapata, 2007;Baroni and Lenci, 2010), we experiment with syntactic contexts that are derived from automatically produced dependency parse-trees.