From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).
Zied BouraouiAntoine CornuéjolsThierry DenoeuxSébastien DesterckeDidier DuboisRomain GuillaumeJoão Marques-SilvaJérôme MenginHenri PradeSteven SchockaertMathieu SerrurierChristel VrainPublished in: CoRR (2019)
Keyphrases
- knowledge representation
- machine learning
- natural language processing
- knowledge acquisition
- knowledge representation and reasoning
- automated reasoning
- knowledge base
- artificial intelligence
- semantic web
- representing knowledge
- knowledge engineering
- probabilistic reasoning
- information extraction
- natural language
- knowledge representation formalisms
- description logics
- commonsense reasoning
- expert systems
- reasoning mechanisms
- logic programming
- human reasoning
- deep learning
- rule based reasoning
- pattern recognition
- group activities
- first order logic
- natural language understanding
- formal representation
- knowledge structures
- production rules
- computer science
- reasoning systems
- group members
- knowledge representation systems
- inference engine
- inductive learning
- machine learning methods
- text classification
- knowledge based systems
- unsupervised learning
- feature selection
- deep knowledge
- text mining
- group learning
- explanation based learning
- question answering
- reasoning tasks
- general knowledge
- online collaborative learning
- learning algorithm
- data mining
- active learning
- domain knowledge
- machine learning algorithms
- machine learning approaches