Papers › Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
Hwee Tou Ng, Kaveh Taghipour
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Word Sense Disambiguation | SensEval 2 Lexical Sample | IMS + adapted CW | F1 | 66.2 | #3 of 3 | Archive leaderboard | report |
| Word Sense Disambiguation | SensEval 3 Lexical Sample | IMS + adapted CW | F1 | 73.4 | #3 of 4 | 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.
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