21 citations · 154 across the 60 of their papers we have counts for
3 papers · 2 filters
Multitask Learning for Low Resource Spoken Language Understanding
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
We explore the benefits that multitask learning offer to speech processing as we train models on dual objectives with automatic speech recognition and intent classification or sent…
Bidirectional Representations for Low Resource Spoken Language Understanding
Quentin Meeus, Marie-Francine Moens, Hugo Van hamme
Most spoken language understanding systems use a pipeline approach composed of an automatic speech recognition interface and a natural language understanding module. This approach…
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding
Pu Wang, Hugo Van hamme
End-to-end spoken language understanding (SLU) systems benefit from pretraining on large corpora, followed by fine-tuning on application-specific data. The resulting models are too…