Rule Chaining and Approximate Match in textual inference.
Asher SternEyal ShnarchShachar MirkinLili KotlermanNaomi ZeichnerIdo DaganAmnon LotanJonathan BerantPublished in: TAC (2010)
Keyphrases
- inference process
- inference engine
- multimedia
- stopping rules
- rule induction
- inference in graphical models
- neural network
- textual data
- expectation propagation
- inference mechanism
- markov chain monte carlo
- exact solution
- textual information
- bayesian inference
- probabilistic inference
- rule sets
- association rules
- natural language
- keywords
- bayesian networks
- metadata
- graphical models
- relational databases
- rule learning
- bayesian model
- efficient learning
- rule discovery
- human generated