As a result, a multitude of studies regarding recurrent neural network (RNN) models for slot filling and intent detection has been completed and has resulted in outcomes that generally outperform most other past approaches.
there have been various attempts to improve the performance of RNNs for spoken dialogue systems such as label sampling (Liu and Lane, 2015), the hybrid type of Elman and Jordan (Mesnil et al,.