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This paper presents a comparison of unsupervised methods of hypernymyprediction (i.e., to predict which word in a pair of words such as fish-cod isthe hypernym and which the hyponym). Most importantly, we demonstrate acrossdatasets for English and for German that the predictions of three methods(WeedsPrec, invCL, SLQS Row) strongly overlap and are highly correlated withfrequency-based predictions. In contrast, the second-order method SLQS shows anoverall lower accuracy but makes correct predictions where the others go wrong.Our study once more confirms the general need to check the frequency bias of acomputational method in order to identify frequency-(un)related effects.

More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods