Maximum Entropy Markov Model
GPTKB entity
Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
sequence model |
| gptkbp:basedOn |
gptkb:maximum_entropy_principle
|
| gptkbp:developedBy |
2000s
|
| gptkbp:field |
gptkb:machine_learning
natural language processing |
| https://www.w3.org/2000/01/rdf-schema#label |
Maximum Entropy Markov Model
|
| gptkbp:input |
sequence of observations
|
| gptkbp:learns |
conditional probability distribution
|
| gptkbp:output |
sequence of labels
|
| gptkbp:proposedBy |
gptkb:Stephen_Della_Pietra
gptkb:Vincent_J._Della_Pietra gptkb:John_Lafferty gptkb:Adam_Berger |
| gptkbp:publishedIn |
Proceedings of the International Conference on Computational Linguistics (COLING) 2000
|
| gptkbp:relatedTo |
gptkb:Hidden_Markov_Model
gptkb:Conditional_Random_Field |
| gptkbp:usedFor |
part-of-speech tagging
named entity recognition information extraction sequence labeling |
| gptkbp:bfsParent |
gptkb:Conditional_Random_Fields
gptkb:Stanford_POS_Tagger gptkb:Conditional_Random_Field |
| gptkbp:bfsLayer |
7
|