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
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MASSIVE
Most implemented papers
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations
NVIDIA/NeMo
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TDT models for Speech Recognition achieve better accuracy and up to 2. 82X faster inference than conventional Transducers.
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
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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.
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.
