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gptkbp:instanceOf
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gptkb:model
statistical analysis
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gptkbp:advantage
|
avoids label bias problem
relaxes independence assumptions
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gptkbp:application
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computer vision
bioinformatics
part-of-speech tagging
named entity recognition
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gptkbp:developedBy
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gptkb:Andrew_McCallum
gptkb:Fernando_Pereira
gptkb:John_Lafferty
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gptkbp:form
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undirected graphical model
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gptkbp:inferenceMethod
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gptkb:Viterbi_algorithm
belief propagation
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gptkbp:input
|
observation sequence
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gptkbp:introducedIn
|
2001
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gptkbp:learns
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conditional probability distribution
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gptkbp:output
|
label sequence
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gptkbp:parameter
|
maximum likelihood estimation
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gptkbp:publicationYear
|
2001
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gptkbp:publishedIn
|
gptkb:Conditional_Random_Fields:_Probabilistic_Models_for_Segmenting_and_Labeling_Sequence_Data
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gptkbp:relatedTo
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Markov chain
maximum entropy Markov model
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gptkbp:type
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discriminative model
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gptkbp:usedFor
|
natural language processing
image segmentation
structured prediction
sequence labeling
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gptkbp:bfsParent
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gptkb:Markov_network
gptkb:Hidden_Markov_model
gptkb:Markov_random_field
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gptkbp:bfsLayer
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6
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