Integrating graph embedding and neural models for improving transition-based dependency parsing.
Phuong Le-HongErik CambriaPublished in: Neural Comput. Appl. (2024)
Keyphrases
- dependency parsing
- neural models
- graph embedding
- neural model
- dependency parser
- bio inspired
- semi supervised
- low dimensional
- neural network
- neural network model
- data representation
- discriminant analysis
- dimensionality reduction
- spiking neural networks
- subspace learning
- feature representation
- dictionary learning
- computer vision
- artificial neural networks
- high dimensional
- decision trees