Intent Classification and Slot Filling
4 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Intent Classification and Slot Filling
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
MASSIVE
Most implemented papers
Intent Detection and Slot Filling for Vietnamese
Intent detection and slot filling are important tasks in spoken and natural language understanding.
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task
phuongnm94/JointBERT_CAE
•
•
Advances in Computational Collective Intelligence 2022
In the success of the pre-trained BERT model, NLU is addressed by Intent Classification and Slot Filling task with significant improvement performance.
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
NVIDIA/NeMo
•
•
TDT models for Speech Recognition achieve better accuracy and up to 2. 82X faster inference than conventional Transducers.
New Semantic Task for the French Spoken Language Understanding MEDIA Benchmark
A combination ofmultiple datasets, including the MEDIA dataset, was suggested for training this joint model.
