BiSLU

Reported on 4 benchmarks across 2 tasks · 1 paper · 1 SOTA

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

Natural Language Processing4 results

Slot FillingonMixSNIPS
Micro F1· 2023-08-28
97.2
SOTA
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation arXiv:2308.14654
Slot FillingonMixATIS
Micro F1· 2023-08-28
89.4
best: 90.5 (MISCA)
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation arXiv:2308.14654
Intent DetectiononMixSNIPS
Accuracy· 2023-08-28
97.8
best: 98.4 (SSRAN)
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation arXiv:2308.14654
Intent DetectiononMixATIS
Accuracy· 2023-08-28
81.5
best: 83.3 (DGIF)
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation arXiv:2308.14654