Hypernymy modeling has largely been separated according to two paradigms, pattern-based 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 state-of-the-art results on two domain-specific En-glish hypernym discovery tasks and outper-forms all non-hybrid approaches in a general English hypernym discovery task.
|Original language||English (US)|
|Number of pages||6|
|State||Published - Sep 12 2019|