Onto.KOM - Towards a Minimally Supervised Ontology Learning System based on Word Embeddings and Convolutional Neural Networks.
Wael AlkhatibLeon Alexander HerrmannChristoph RensingPublished in: KEOD (2017)
Keyphrases
- minimally supervised
- lexical semantics
- ontology learning
- convolutional neural networks
- semantic relations
- background knowledge
- natural language processing
- semantic web
- knowledge acquisition
- word sense disambiguation
- inductive logic programming
- information processing
- lexical resources
- text corpora
- computational linguistics
- co occurrence
- decision making
- artificial intelligence
- high level
- information extraction
- domain knowledge
- feature space
- computer science
- keywords