Using word embeddings to generate data-driven human agent decision-making from natural language.
Bryan C. RunckSteven M. MansonEric ShookMaria L. GiniNicholas R. JordanPublished in: GeoInformatica (2019)
Keyphrases
- data driven
- human agent
- decision making
- natural language
- natural language text
- social interaction
- knowledge representation
- decision makers
- n gram
- pedagogical agents
- information extraction
- natural language processing
- co occurrence
- machine learning
- semantic analysis
- natural language generation
- data mining
- language processing
- information processing
- vector space
- machine translation
- dimensionality reduction
- multi agent systems
- reinforcement learning