An approach to intent detection and classification based on attentive recurrent neural networks.
Fernando Fernández MartínezDavid GriolZoraida CallejasCristina Luna JiménezPublished in: IberSPEECH (2021)
Keyphrases
- recurrent neural networks
- pattern recognition
- feed forward
- neural network
- classification accuracy
- recurrent networks
- feedforward neural networks
- artificial neural networks
- feature vectors
- image classification
- digital mammograms
- complex valued
- supervised learning
- text classification
- real time
- reservoir computing
- false positives
- detection algorithm
- classification algorithm
- support vector machine svm
- neural model
- support vector machine
- support vector
- feature extraction
- feature selection
- detection method
- model selection
- object detection
- neyman pearson
- cascade correlation