Package de.jungblut.ner

Interface Summary

Interface	Description
SequenceFeatureExtractor<K>	Interface for feature extraction in sequence learning.

Class Summary

Class	Description
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.
ConditionalLikelihoodCostFunction	Conditional likelihood cost function, used in a maximum entropy markov model to optimize the weights.
IterativeSimilarityAggregation	Iterative similarity aggregation for named entity recognition and set expansion based on the paper "SEISA: Set Expansion by Iterative Similarity Aggregation".
MaxEntMarkovModel	Maximum entropy markov model for named entity recognition (classifying labels in sequence learning).
SparseFeatureExtractorHelper<K>	Convenient helper for creating vectors out of text features for sequence learning.
UnrollableDoubleVector	Unrollable proxy double vector class, that wraps multiple vectors into one that can be later unrolled.