SF-ID (BLSTM) network

Reported on 2 benchmarks across 1 task · 1 paper

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

Natural Language Processing2 results

Intent DetectiononATIS
Accuracy· 2019-06-30
97.76
best: 98.99 (Bi-model with decoder)
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling arXiv:1907.00390
Intent DetectiononSNIPS
Accuracy· 2019-06-30
97.43
best: 99.42 (CTRAN)
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling arXiv:1907.00390