The Effectiveness of Simple Hybrid Systems for Hypernym Discovery

William Held, Nizar Habash


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 English hypernym discovery tasks and outperforms all non-hybrid approaches in a general English hypernym discovery task.
Anthology ID:
P19-1327
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3362–3367
Language:
URL:
https://aclanthology.org/P19-1327
DOI:
10.18653/v1/P19-1327
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/P19-1327.pdf