(Schütze, 1995;Biemann, 2006)): The most frequent 200 words in the corpus (July 2008 dump of English Wikipedia) are used as features in a word window of ±2 around the target words.
each target word is described by an 800-dimensional feature vector, containing the number of times we observe one of the most frequent 200 words in the respective positions relative to the target word.