Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey.
Lorenzo FerroneFabio Massimo ZanzottoPublished in: Frontiers Robotics AI (2019)
Keyphrases
- deep learning
- natural language processing
- unsupervised feature learning
- machine learning
- symbolic representation
- deep belief networks
- unsupervised learning
- information extraction
- text mining
- restricted boltzmann machine
- higher order
- mental models
- weakly supervised
- co occurrence
- named entities
- deep architectures
- named entity recognition
- natural language
- domain specific
- wordnet
- knowledge representation
- bayesian networks
- face recognition