FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary
FEWS (Few-shot Examples of Word Senses) is a few-shot dataset for English Word Sense Disambiguation (WSD) gathered from Wiktionary, an online, crowd-sourced dictionary. FEWS contains over 121,000 labeled examples of ambigous words, corresponding to more than 71,000 sense types. The evaluation for FEWS is split into few-shot and zero-shot settings, to better faciliate evaluating on few-shot learning and perfromance on rare senses.
Variants: FEWS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Word Sense Disambiguation | SEMeq base | Connect-the-Dots: Bridging Semantics between Words … | 2021-10-27 |
| Word Sense Disambiguation | SEMEq Large | Connect-the-Dots: Bridging Semantics between Words … | 2021-10-27 |
Recent papers with results on this dataset: