Abstract
Hypernymy modeling has largely been separated according to two paradigms, patternbased methods and distributional methods.
However, recent works utilizing a mix of these
strategies have yielded state-of-the-art results.
This paper evaluates the contribution of both
paradigms to hybrid success by evaluating the
benefits of hybrid treatment of baseline models from each paradigm. Even with a simple
methodology for each individual system, utilizing a hybrid approach establishes new stateof-the-art results on two domain-specific English hypernym discovery tasks and outperforms all non-hybrid approaches in a general
English hypernym discovery task.