Papers › ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym...
ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora
Alfredo Maldonado, Filip Klubi{\v{c}}ka
This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input word are predicted based based on cosine similarity scores. Two sets of word embedding models were trained separately on two specialised corpora: a medical corpus and a music industry corpus. Our system scored highest in the medical domain among the competing unsupervised systems but performed poorly on the music industry domain. Our system does not depend on any external data other than raw specialised corpora.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Hypernym Discovery | Medical domain | ADAPT | MAP | 8.13 | #7 of 8 | Archive leaderboard | report |
| Hypernym Discovery | Medical domain | ADAPT | MRR | 20.56 | #7 of 8 | Archive leaderboard | report |
| Hypernym Discovery | Medical domain | ADAPT | P@5 | 8.32 | #7 of 8 | Archive leaderboard | report |
| Hypernym Discovery | Music domain | ADAPT | MAP | 2.63 | #6 of 7 | Archive leaderboard | report |
| Hypernym Discovery | Music domain | ADAPT | MRR | 7.46 | #6 of 7 | Archive leaderboard | report |
| Hypernym Discovery | Music domain | ADAPT | P@5 | 2.64 | #6 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections