The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

William Held, Nizar Habash

Research output: Contribution to conferencePaper

Abstract

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 languageEnglish (US)
Number of pages6
DOIs
StatePublished - Sep 12 2019

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