SEMEq Large

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Word Sense DisambiguationonFEWS
F1 (Fewshot Test)· 2021-10-27
82.3
best: 90.7 (GlossGPT)
SOTA
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories arXiv:2110.14091
Word Sense DisambiguationonFEWS
F1 (Zero shot test)· 2021-10-27
72.2
best: 79.5 (GlossGPT)
SOTA
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories arXiv:2110.14091
Word Sense DisambiguationonFEWS
F1 (Zeroshot Dev)· 2021-10-27
73.7
best: 81.8 (GlossGPT)
SOTA
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories arXiv:2110.14091
Word Sense DisambiguationonFEWS
F1(FewShot Dev)· 2021-10-27
81.8
best: 90.2 (GlossGPT)
SOTA
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories arXiv:2110.14091