{Caroline Barri{\`e}re Gabriel Bernier-Colborne}

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.
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| hypernym-discovery-on-general | CRIM | MAP: 19.78 MRR: 36.10 P@5: 19.03 |
| hypernym-discovery-on-medical-domain | CRIM | MAP: 34.05 MRR: 54.64 P@5: 36.77 |
| hypernym-discovery-on-music-domain | CRIM | MAP: 40.97 MRR: 60.93 P@5: 41.31 |
Build AI with AI
From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.