Detecting Sections and Entities in Court Decisions Using HMM and CRF Graphical Models.
Gildas Tagny NgompéSébastien HarispeGuillaume ZambranoJacky MontmainStéphane MussardPublished in: EGC (best of volume) (2018)
Keyphrases
- graphical models
- conditional random fields
- probabilistic model
- belief propagation
- hidden markov models
- crf model
- random variables
- probabilistic graphical models
- approximate inference
- probabilistic inference
- decision making
- bayesian networks
- markov networks
- statistical inference
- graph structure
- factor graphs
- random fields
- maximum entropy
- undirected graphical models
- map inference
- superpixels
- structure learning
- upper bound
- image labeling
- belief networks
- structured prediction
- named entities
- message passing
- conditional independence
- parameter learning
- exact inference