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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/S18-1116.pdf
- Code
- gbcolborne/hypernym_discovery
- Data
- SemEval-2018 Task-9