Unsupervised word embeddings capture latent knowledge from materials science literature.
Vahe TshitoyanJohn DagdelenLeigh WestonAlexander DunnZiqin RongOlga KononovaKristin A. PerssonGerbrand CederAnubhav JainPublished in: Nat. (2019)
Keyphrases
- materials science
- expert systems
- domain knowledge
- knowledge representation
- knowledge discovery
- low dimensional
- scientific data
- n gram
- decision support
- knowledge acquisition
- knowledge management
- knowledge base
- real world
- unsupervised learning
- learning systems
- semi supervised
- latent variables
- expert knowledge
- machine learning