| BasicFeatureExtractor |
Basic feature extraction for sequence learning, takes the current word into
account and the previous label - as well as the joint version of both.
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| ConditionalLikelihoodCostFunction |
Conditional likelihood cost function, used in a maximum entropy markov model
to optimize the weights.
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| IterativeSimilarityAggregation |
Iterative similarity aggregation for named entity recognition and set
expansion based on the paper
"SEISA: Set Expansion by Iterative Similarity Aggregation".
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| MaxEntMarkovModel |
Maximum entropy markov model for named entity recognition (classifying labels
in sequence learning).
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| SparseFeatureExtractorHelper<K> |
Convenient helper for creating vectors out of text features for sequence
learning.
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| UnrollableDoubleVector |
Unrollable proxy double vector class, that wraps multiple vectors into one
that can be later unrolled.
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