CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery

Gabriel Bernier-Colborne, Caroline Barrière


Abstract
This report describes the system developed by the CRIM team for the hypernym discovery task at SemEval 2018. This system exploits a combination of supervised projection learning and unsupervised pattern-based hypernym discovery. It was ranked first on the 3 sub-tasks for which we submitted results.
Anthology ID:
S18-1116
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
725–731
Language:
URL:
https://aclanthology.org/S18-1116
DOI:
10.18653/v1/S18-1116
Bibkey:
Cite (ACL):
Gabriel Bernier-Colborne and Caroline Barrière. 2018. CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 725–731, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery (Bernier-Colborne & Barrière, SemEval 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1116.pdf
Code
 gbcolborne/hypernym_discovery
Data
SemEval-2018 Task-9