Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
conditional random field
probabilistic graphical model |
| gptkbp:featureFunction |
arbitrary, overlapping features
|
| gptkbp:hasModel |
conditional probability distribution
|
| https://www.w3.org/2000/01/rdf-schema#label |
linear-chain CRF
|
| gptkbp:inferenceAlgorithm |
gptkb:Viterbi_algorithm
forward-backward algorithm |
| gptkbp:introduced |
gptkb:Andrew_McCallum
gptkb:Fernando_Pereira gptkb:John_Lafferty |
| gptkbp:introducedIn |
2001
|
| gptkbp:openSource |
gptkb:Wapiti
gptkb:CRF++ gptkb:CRFsuite gptkb:sklearn-crfsuite |
| gptkbp:publishedIn |
gptkb:Proceedings_of_the_18th_International_Conference_on_Machine_Learning_(ICML_2001)
|
| gptkbp:relatedTo |
Markov chain
maximum entropy Markov model |
| gptkbp:structure |
chain-structured graph
|
| gptkbp:trainer |
gptkb:L-BFGS
gradient descent maximum likelihood estimation stochastic gradient descent |
| gptkbp:usedFor |
bioinformatics
part-of-speech tagging named entity recognition sequence labeling |
| gptkbp:bfsParent |
gptkb:Conditional_Random_Field
|
| gptkbp:bfsLayer |
7
|