The first baseline we consider is the 3CosAvg (or 3CA) method proposed in , which essentially treats the relation induction problem like an analogy completion problem, where we use the average translation vector across all pairs (s i , t i ) from the training data.
this method assigns the following score to the test pair (s, t): Another method proposed in , called LRCos (or LRC), is based on the assumption that (s, t) is likely correct if cos(s, t) is high and t is of the correct type, where a logistic regression classifier was trained on the target words {t 1 , ..., t n } to predict the probability that t is a valid 'target word'.