Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract).
Manik BhandariMark FeblowitzOktie HassanzadehKavitha SrinivasShirin SohrabiPublished in: AAAI (2021)
Keyphrases
- knowledge extraction
- textual documents
- natural language
- lexical semantics
- natural language generation
- text generation
- bayesian networks
- knowledge discovery
- natural language processing
- causal inference
- systems engineering
- natural language text
- data mining
- text segmentation
- probabilistic inference
- student learning
- unsupervised learning
- learning environment
- information retrieval
- natural language sentences
- human language
- semantic representation
- linguistic analysis
- syntactic structures
- machine learning
- keywords
- semi supervised
- learning process
- information extraction
- knowledge representation
- free text
- database
- diagnostic imaging
- causal reasoning
- inference process
- medical databases
- knowledge level
- textual data
- causal theories
- semantic analysis
- text mining
- text documents
- syntactic categories
- databases
- causal relationships
- intelligent tutoring systems
- learning styles
- real world
- natural language understanding
- semantic content
- tutoring system
- supervised learning
- software engineering