Relevance Propagation through Deep Conditional Random Fields.
Xiangyu YangBoris JoukovskyNikos DeligiannisPublished in: ICASSP (2023)
Keyphrases
- conditional random fields
- graphical models
- probabilistic model
- higher order
- sequence labeling
- random fields
- named entity recognition
- hidden markov models
- markov random field
- information extraction
- crf model
- markov models
- semi markov
- generative model
- parameter learning
- maximum entropy
- markov networks
- structured prediction
- image labeling
- information retrieval
- superpixels
- pairwise
- segmentation method
- contextual features
- protein fold recognition
- prior knowledge
- probabilistic graphical models
- bayesian networks
- dependency parsing
- loopy belief propagation
- decision trees
- structured learning
- search engine
- data mining
- web page prediction