Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.
Rebecca SharpAdarsh PyarelalBenjamin M. GyoriKeith AlcockEgoitz LaparraMarco Antonio Valenzuela-EscárcegaAjay NageshVikas YadavJohn A. BachmanZheng TangHeather C. LentFan LuoMithun PaulSteven BethardKobus BarnardClayton T. MorrisonMihai SurdeanuPublished in: NAACL-HLT (Demonstrations) (2019)
Keyphrases
- free text
- causal models
- information extraction
- natural language processing
- causal discovery
- structured data
- conditional independence
- computer assisted assessment
- causal inference
- semi structured documents
- plain text
- directed acyclic graph
- causal reasoning
- causal relationships
- causal relations
- structural model
- formal specification
- causal structure
- medical records
- semi structured
- causal graph
- clinical guidelines
- structural equation models
- patient records
- relational databases
- information retrieval
- expert systems
- medical images
- bayesian networks